Your impact

Handshake is hiring a Staff Machine Learning Engineer with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance. 

AI is the future and we are excited to further invest in providing AI resources for our users on our platform. Is it possible to thoughtfully design a responsible, AI-driven product that can help our students progress from educational aspirations to career achievements?  In this role, you will work on tackling that goal as part of a lean, high-visibility team. You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.

You will be part of a high-impact org that has already built a Data platform housing billions of data points, with cutting-edge production systems such as embedding-based retrieval, Graph Neural Networks, Fine-Tuned LLMs, and multi-stage rankers.  You will level up existing ML systems and drive marketplace metrics, while also accelerating greenfield AI-based products such as Social/Feed.  We’ll do all of this responsibly, with developed workstreams around Explainability, Fairness, and Quality.

Your role

• You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching peers, and more. 
• You will be a Leader-  spearheading a lean team of machine learning engineers and data scientists while enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
• You will be an Innovator -  developing algorithms and Machine Learning systems that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
• You will be a Collaborator -being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

Your experience

You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion. You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design. You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions. 

• Basic Qualifications
• Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
• 4+ years of industry ML experience as TL or TLM
• Preferred Qualifications:  
• MS/Ph.D. in Machine Learning, Statistics or a related field 
• 7+ years of industry ML experience as TL or TLM
• End-to-End experience building web-scale AI systems, feature stores, microservices
• Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI
• Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
• Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
• Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).

Compensation range

$235,000-260,000 

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Data Scientists at Rocket Money further our mission by working to understand and deepen customer relationships with our many financial products. Our team builds models that identify and engage customers who would benefit from mortgage and personal loan products. We work with our product and engineering teams to understand, explain, and predict retention. Data Scientists also support growth operations by designing marketing tests, building growth efficiency estimation models, and modeling user lifetime value. We have a strong preference for team players that are comfortable collaborating across teams, know how to shape strategy with data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE ????‍♀️

In this role, you will focus on the following types of problems:

• Optimize to continuous product feedback loops - you understand that data science is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing.
• Create customer segmentation and conversion propensity models that will help us understand the best ways to serve different types of users and convert them into affiliate products and services.
• Help develop the next version of Autopilot and Budgets. Ensure members have money in the right place at the right time for their near and long term goals. Warn them when they do not.
• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data to better deliver personalized product experiences and power ever more accurate customer segmentation, propensity, and ad targeting models.
• Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing.
• Work alongside our product and marketing teams to understand our members’ product usage, predict our customers’ lifetime value, and estimate user retention.
• In collaboration with engineering, product, and design teams, work to implement new user-facing features and experiences. Use your expertise in ML system and model design to delight our customers with new user experiences.

Regardless of the challenges you dive into, you will:

• Become a subject matter expert in your area of specialty and be responsible for leading projects from start to finish - making key decisions on both implementation and scope while balancing technical and business goals.
• Work collaboratively in cross-functional teams to deliver new products and services.
• Become an expert on our members. Understand their needs and financial goals. Work with product and engineering teams to build features that help our members build better financial lives.
• Use your expertise in ML system and model design to aid product delivery, both internal and external.
• Be a steward of good instrumentation and experimental design - designing analyses, models, and products in a way that is measurable, testable, repeatable, and robust. You will advocate for experimental approaches in everything that we do.
• Build internal tooling that improves the data science and ML implementation - help accelerate the work of others.
• Maintain a high technical bar - participate in code reviews, contribute to product and technical design, maintain a high degree of quality in our production data, and mentor junior team members.

ABOUT YOU ????

• You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work.
• You know how to work at a strategic level - you can collaborate with stakeholders to define new projects and initiatives for yourself and others.
• Excellent writing, presentation, and communication skills. Documenting, recruiting for feedback, and securing alignment among stakeholders is second nature.
• You have 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, and at least one programming language. You are equally adept at hacking together proof of concepts and working with engineering teams to build scalable, durable systems.
• You embrace the player/coach mindset. You take care to mentor and develop others when leading projects. You’ve helped junior data scientists grow in their careers.
• You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert business analyst when necessary.
• Deep experience in one or more of the following in a professional capacity: customer modeling/segmentation, time series modeling, natural language processing and classification, design of experiments, machine learning applied to consumer products, building generative AI applications in consumer software.
• You find yourself building tools to help others solve their problems and follow a philosophy of continuous improvement and automation.
• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

EquipmentShare is Hiring a Data Engineer.

EquipmentShare is searching for a Data Engineer to work fully remotely. 

EquipmentShare is seeking a Data Engineer to be responsible for how we manage our Human Resources data

Primary Responsibilities

• Establish sound pipelines and clear table structures for a wide variety of metrics used by the People Analytics team, with particular emphasis on ensuring data security and anonymity, and helping to ensure compliance with all legal requirements for this data
• Help shape best practices within our data engineering teams more broadly, along with mentoring and developing junior data engineers
• Manage AWS and Snowflake resources and databases
• Collaborate with other data engineers as well as be the direct point of contact for the people analytics team for data ingestion, transformation, and automation.

Why We’re a Better Place to Work

• Competitive salary.
• Medical, Dental and Vision coverage for full-time employees.
• 401(k) and company match.
• Unlimited Paid time off (PTO) plus company paid holidays.
• Stocked breakroom and full kitchen, chef prepared meals daily (breakfast and lunch).
• State of the art onsite gym (Corporate HQ) with instructor led-courses/Gym stipend for remote employees.
• Seasonal and year round wellness challenges.
• Company sponsored events (annual family gatherings, happy hours and more).
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home. Employees receive 16 hours of paid volunteer time per year.
• Opportunities for career and professional development with conferences, events, seminars and continued education. 

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

• Degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field
• 3+ years working on technology-powered products as either a data platform engineer, data engineer, ML engineer, analytics engineer, software developer or a closely related role
• Experience working with HR data, or other sensitive data types.
• Experience with Workday is a plus
• Demonstrated understanding of business analytics, data modeling, and warehousing

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote

Not seeing an open job currently that matches your skills and experience?JOIN the Talent Community!

At Stitch Fix, we’re passionate about people and know that finding a career that’s right for you can take time and patience. That’s why we built this technical talent community – to support you in “finding a career that looks good on you.” This community is designed to keep you in the loop regarding all things Stitch Fix, including career opportunities, business updates, employee testimonials, a peek inside our culture and so much more! The technical talent community here at Stitch Fix focuses on roles and news in Engineering, Algorithms, Product, and IT.  

Our tech stack includes: ETL, Python, SQL, Spark, Stats, ML Frameworks, ML Systems, Ruby, GoLang, React, GraphQL, Kafka, AWS, CI, and Docker. 

To join the community, tell us a little about yourself by answering a few questions below. We hope you’re just as excited to learn more about our amazing culture as we are to share it with you!

*Please note: This is not a job application. Should you have interest in joining our Tech team, a formal application will be required to move forward with your candidacy.

What You’ll Do

• Design and architect the state-of-the-art AI supercomputers powering our cloud
• Introduce technology and software to improve the performance, resiliency, and quality of service of our HPC storage and networking infrastructure
• Work closely with our ML team to benchmark, tune, and optimize our hypervisors, network, and storage
• Set up monitoring, logging and alerting to ensure high availability and observability
• Provide guidance and represent the interests of our HPC customers

You

• Have expertise with architecting, operating, and debugging large scale HPC network and storage infrastructure, ideally using MPI, NCCL, RDMA, Infiniband, and parallel file systems
• Are experienced with building complex, high-quality software using Python
• Possess a deep understanding of Linux fundamentals, especially its networking stack
• Have experience with large GPU clusters is strongly preferred
• Have experience with virtualization and kubernetes
• Come from a strong engineering background - Computer Science, Electrical Engineering, Mathematics, Physics

You will be successful in this role if you

• Have led and taken full ownership over large, ambiguous, cross team projects from conception to production
• Enjoy moving fast and making a large business impact
• Value working on a team of high performers that hold each other accountable
• Are a self-starter, curious, and not afraid to ask when in doubt
• Are a quick learner and enjoy learning new technologies
• Value working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team 

Salary Range Information 

Based on market data and other factors, the salary range for this position is $180,000 - $250,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

​​About the Role:

We're looking for an experienced Data Architectto join our Data Platform Engineering team. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage. 

As a Data Architect, you will focus on the big picture of an organization’s data strategy. You will work closely with other architects, engineering, product, analytics, data science, and DevOps leaders to align the data architecture with the overall business goals and objectives.

Your primary responsibility is to develop a cohesive data architecture that supports the organization’s long-term vision. You design efficient data storage structures, data models, standards, and optimize data retrieval for reporting, analytics, and AI purposes.

You Will

• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Design and develop scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Implement security measures to safeguard sensitive data from unauthorized access, ensuring data privacy, and compliance with relevant regulations
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency in a variety of technologies such as: SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environment

Nice to Have

• Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

​​About the Role:

Imagine directing a world-class Machine Learning team on a path towards truly personalized medicine. This could be your reality by applying for this pivotal role!

We’re looking for a Director to lead our machine learning engineering team toward the forefront of personalized medicine and help us re-write the rule book on what’s possible in healthcare.

In this role, you will work with data scientists, analysts, product managers, engineers, and others to conceptualize and implement data-driven products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be in good company, working closely with our leading-edge Data Science team and sit within the wider Analytics and Data Science org. Giving you the opportunity to collaborate widely and work with a range of professionals in tackling novel problems. We have the data and the team, now we just need a superstar Director to guide our explosive technical development. Could that be you?

You Will:

• Lead a team of four Machine Learning Engineers in developing ML solutions across marketing, product, and operations as well as specific models to tackle medical recommendations 
• Collaborate with data scientists, engineers, product managers, and designers to build machine-learning based systems
• Help guide decisions based on your knowledge of the data and statistical applications
• Tackle novel challenges in predicting and prescribing personalized medicine to individuals
• Bring a broad awareness of the landscape of ML and AI-based tools for solving common end-user problems (e.g. recommendation systems, prediction, generative AI)
• Guide our strategy in machine learning and data use at large

You Have:

• 10+ years working in data science or machine learning with a proven record of incremental changes that improved product metrics with machine learning technologies
• Proven experience leading a technical team of Machine Learning Engineers or an advanced Data Science team
• Solid background in machine learning fundamentals, modeling techniques and productionizing machine learning models
• Intimate familiarity with modern data science and machine learning tool stack

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Senior Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.  

A brief highlight of our tech stack:

• Python / Postgres / Snowflake / dbt
• AWS cloud 

What you'll do:

• Own and drive the foundational work of a ML system at CLEAR
• Design, build and deploy ML models for various applications, such as document and image processing, fraud detection.
• Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

What you're great at:

• 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
• Expertise in best practices for feature engineering, model development/deployment and monitoring
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000 - $180,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With nearly 19 million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic. 

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

#LI-Hybrid #LI-Onsite

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in Germany, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Software Engineer, Data Infrastructure, to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Software Engineer on the Data Infrastructure team, you will create engineering and analytical efficiencies as the owner of several crucial company-wide services. Our cutting-edge data lake is the central hub for all data producers and data consumers, so your impact will span all of Grammarly. You will have the opportunity to design and build sustainable and scalable systems.

Software engineers on the Data Infrastructure team are responsible for ingesting, processing, and serving over 30 billion daily events. Grammarly relies on this team to unlock efficiencies of scale, provide real-time data to other services, and maintain the highest standards of data security.

We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!

In this role, you will:

• Leverage AWS, write code, build data pipelines, and create brand-new systems while contributing to existing ones.
• Build and manage Grammarly’s central ingestion infrastructure.
• Work with partners (researchers, ML engineers, and others) across engineering teams to build tools that seamlessly incorporate data.
• Influence the big picture: make architectural decisions, research relevant technology, and plan for the future.

Qualifications

• Has experience with system design and building large distributed computing systems.
• Can knowledgeably choose a third-party service to accomplish what they need or, alternatively, can devise a quick and simple solution on their own.
• Has good knowledge of and some experience with AWS (or has deep expertise in Azure or GCE and is willing to learn AWS in a short time frame).
• Has experience with some of the following: Spark, Scala, Java, Kafka, Kinesis, Terraform.
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
• Has at least three years of experience managing a live production environment, preferably a high-load system.
• Is a strong communicator. We are a tightly integrated team that takes a collaborative approach to our work and fosters a sense of shared ownership in our accomplishments. We expect colleagues to communicate proactively: talk, email, chat—you name it.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 
#LI-AD3

​​About the Role:

Hims & Hers seeks an inspiring leader to lead our data engineering efforts. The Data Engineering team sits at the intersection of Engineering, DevOps, and Analytics Engineering. The Senior Manager, Data Engineering position is a crucial leadership role responsible for overseeing a team of data engineers and ensuring the successful delivery of work within the defined domains. This person is responsible for the infrastructure, data warehouse and data pipelines that power analytical models and operational data workloads, as well as the team who builds, operates, and maintains them. The manager will be working closely with the DevOps, Engineering and Analytics Engineering teams to bring alignment in order to leverage the Self-Service Data Platform to build new data pipelines and migrate existing data platform currently hosted on Google BigQuery to Databricks on AWS where the Enterprise data resides. 

You Will:

• Lead a team responsible for large-scale Data and ML Infrastructure
• Creatively tests and manages software applications and associated programs that support large-scale real-time and batch data pipelines
• Guides the team to ensure the successful implementation of new concepts or methods
• Be a recruiter 
• Researching and recommending frameworks, and promoting operational excellence
• Identifies and addresses potential issues in work processes, offering continuous improvement recommendations
• Overseeing the processes of unit testing, establishing SLAs, and ensuring data quality checks
• Demonstrates proficiency and up-to-date knowledge in languages, data platforms, cloud services, event instrumentation, and methodologies
• You must have excellent listening, writing skills and very strong technical competency
• You have a high bar for code quality and passion for design and architecture
• Setting technical vision and engineering best practices in collaboration with senior engineers within the team
• Perform code reviews

You Have:

• Bachelor's degree in Computer Science/Engineering or related field.
• 10+ years of relevant work experience in data engineering and leading teams.
• 12+ years of experience with SQL, preferably for data transformation or analytical use cases.
• Outstanding people skills with high emotional intelligence
• Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement
• Your team and partners see your humility all the time and diverse high-caliber talent wants to work with you.
• Experience using version control (command-line, Git).
• Proficiency in Python and SQL.
• Familiarity with Databricks, Kafka, or similar technologies.
• Demonstrated experience engaging and influencing senior leaders across functions, including an ability to communicate effectively with both business and technical teams.
• Strong understanding of modern data stack and architectural strategies.
• Experience developing a team in a fast-paced, high-growth environment.
• Experience working with management to define and measure KPIs and other operating metrics.
• Understanding of SDLC and Scrum framework.

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production ML models and risk management tools that are the core of Signifyd's product. The Senior Analyst will be part of the Merchant Solutions team within the Data Science organization. The Merchant Solutions team maintains a balance between custom and scalable solutions for Signifyd’s customers, and the Senior Analyst will be a direct influencer of how to balance the team’s approach of custom vs scalable solution development. In addition to influencing the team’s approach, the Senior Analyst will also help ensure solutions are achieving their desired results, and make recommendations to adjust approaches as needed.

In terms of culture, we value collaboration and team ownership -- no one should feel they're solving a hard problem alone. Working across job functions, team boundaries, and hierarchies is not only encouraged, but is required to be successful at Signifyd. We’re all in the same boat, and value team members that both seek to influence the direction of travel, and actively contribute to helping Signifyd improve the e-commerce shopping experience.

A typical day:

• Use a combination of data science, analytics, and data engineering based skills to build business insights regarding merchant performance at Signifyd.
• Conduct deep analysis and communicate your findings to a broad group of stakeholders ranging from data scientists to C-suite executives.
• Influence the priorities of the business and data science organization based on your findings, sometimes challenging existing priorities and/or recommending alternatives.
• Developing dashboards, conducting analysis in notebooks, querying relational databases, and investigating fraud patterns to help direct resource allocation within the Merchant Solutions team.

Past experience you'll need:

• A degree in a STEM related field, or equivalent work experience
• 5+ years of post-undergrad work experience
• Strong verbal and written communication skills
• Expert SQL knowledge and practical Python experience for data analysis

• Experience building dashboards with software such as Looker, Tableau, etc.

• Translating ambiguous problem statements into actionable analyses
• Influencing leaders and peers through storytelling with data
• End to end project management for data analysis initiatives from defining requirements, establishing success criteria, and engaging stakeholders.

Bonus points if you have:

• Previous work in fraud, payments, or e-commerce
• Data analysis in a distributed environment
• Familiarity with the Linux command line and version control

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production ML models and risk management tools that are the core of Signifyd's product. The Merchant Solutions team within Data Science maintains a balance between custom and scalable solutions for Signifyd’s customers. As an Analyst, you will be part of the Merchant Solutions team within the Data Science organization, helping to ensure solutions are achieving their desired results. 

In terms of culture, we value collaboration and team ownership -- no one should feel they're solving a hard problem alone. Working across job functions, team boundaries, and hierarchies is not only encouraged, but is required to be successful at Signifyd. We’re all in the same boat, and value team members that both seek to influence the direction of travel, and actively contribute to helping Signifyd improve the e-commerce shopping experience.

A typical day:

• Use a combination of data engineering, science, and analytics based skills to build business insights regarding merchant performance at Signifyd.
• Utilize a combination of in house developed tooling and adhoc analyses to identify opportunities and evaluate merchant performance.
• Developing dashboards, conducting analysis in notebooks, querying relational databases, and investigating fraud patterns to help manage merchant performance.
• Collaborate with data scientists to understand the reasoning behind model decisions, root causing incorrect decisions, and developing ideas to improve model decisions.

Past experience you'll need:

• A degree in a STEM related field, or equivalent work experience
• 2+ years of post-undergrad work experience
• Strong verbal and written communication skills
• Expert SQL knowledge and practical Python experience for data analysis
• Experience building dashboards with software such as Looker, Tableau, etc.
• Translating ambiguous problem statements into actionable analyses
• Influencing peers through storytelling with data

Bonus points if you have:

• Previous work in fraud, payments, or e-commerce
• Data analysis in a distributed environment
• Familiarity with the Linux command line and version control

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

What You’ll Do

• Be the first point of contact for all incoming technical support questions and handle all customer interactions with understanding, empathy, and transparency.
• Troubleshoot OS, hardware, and Lambda Stack issues for customers and provide guidance on the best technical solutions that suit their needs.
• Route and escalate tickets, as needed, to appropriate teams and departments while owning customer communication throughout the issue lifecycle.
• Work with our technical writing team to document solutions to common problems to allow for future customer self-service.
• Provide feedback to internal teams on technical issues our customers are facing and, above all, be the customer’s advocate.
• Work together in a cohesive, customer-first collaborative team environment, sharing your skills, knowledge, and experience.

You

• Have Linux administration experience in bare-metal, virtualized, and/or cloud environments.
• Familiarity with private or hybrid cloud environments, such as Azure, AWS, and/or OCI.
• Experience with monitoring and alerting for enterprise and cloud environments.
• Have Shell and Python scripting proficiency.
• Strong ability to curate and adhere to technical standard operating procedures.
• Possess excellent written and oral communication skills.
• Proven experience when handling multiple customer interactions in a fast-paced environment.

Nice to Have

• Familiarity with datacenter level hardware, including GPUs.
• Familiarity with ML / AI / Deep Learning.
• Experience with Zendesk ticketing.
• Wide flexibility for scheduling as we push for 24/7 support availability.

Teaching kids to think critically and communicate effectively has never been more important, and NoRedInk helps students become better writers in more than 60% of U.S. school districts. We're looking for an AI Engineer to join our team and help us achieve our mission of unlocking every writer’s potential. As an AI Engineer at NoRedInk, you’ll build features as part of collaborative teams of product managers, designers and other engineers all focused on helping teachers more easily assign & grade authentic writing assignments that students are able to complete with confidence as they hone their language and writing skills. In this role, you would be working with a team focused on building features that leverage AI/ML technologies to improve the experience of students & teachers. NoRedInk knows the value of a diverse team and welcomes applicants from a wide diversity of backgrounds and approaches.

Notice:Unfortunately, we’ve discovered a phishing scam targeting NoRedInk applicants; please see below to learn more*.

In this role, you will:

• Collaborate with the team to architect, build and deploy features that leverage AI/ML models generally and LLMs in particular, including fine-tuning, prompt engineering, model validation
• Work closely with cross-functional teams to integrate AI solutions into existing infrastructure, optimizing scalability, operation, accuracy and cost
• Evaluate advancements in AI/ML methods and technologies and assess their applicability to our objectives, ultimately translating business needs into technical solutions that add value
• Identify opportunities to enhance our AI/ML technology stack by building or recommending tools, technologies  & processes to manage AI/ML models & related features
• Foster a culture of learning and continuous improvement within the company by sharing knowledge and expertise in AI technologies.

About You:

• 4+ years of professional experience building and deploying solutions in production that leverage ML models while keeping scalability, security, observability, testability and privacy in mind
• 1+ years of experience building and deploying solutions in production that leverage LLMs in particular
• Strong knowledge of and experience leveraging AI/ML concepts, NLP, deep learning as well as supervised learning, LLMs, RAGs & generative AI
• Proficient in using LangChain, TensorFlow, Keras, etc.
• Experience building SaaS applications deployed on AWS
• Interested in functional languages like Elm and Haskell and comfortable working with languages like Python & Ruby
• Experience with MLOps, data engineering and data management a plus
• You’re excited to work as part of a team to achieve company goals and realize our vision of building better writers

What NoRedInk Offers:

• A competitive salary and equity package in a well-funded startup with a strong product-market fit
• Excellent health, vision, and dental benefits (U.S. Only)
• 100% remote work environment - we are open to international candidates in Canada and South America 
• Flexible PTO and paid parental leave
• 401(k) (U.S. Only)
• LinkedIn Learning subscription with unlimited access to thousands of expert-led online courses
• Team retreats and events to connect with fun, talented coworkers
• The ability to help millions of students and teachers and address a critical societal need

About NoRedInk:

NoRedInk helps students in over 60% of US school districts become better writers. Our deeply engaging, adaptive curriculum personalizes exercises to kids' interests, guides them through the writing process with instructional support, and boosts their skills through targeted practice. Students have completed over 10 billion exercises on our site, and our mission is to help all students harness the power of the written word.

Check out our press page, including our 2-minute pitch on NBC and articles in The Washington Post, Wall Street Journal, and Forbes.

NoRedInk believes that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. At NoRedInk, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. 

Compensation at NoRedInk is robust and includes a full range of benefits, unlimited PTO, monthly co-working stipends, an initial home-office set-up stipend, and generous equity. Our salary ranges are based on factors such as expectations in the job description, location-specific market data, internal parity, and the experience and skills of individual candidates. Therefore, the compensation range is $135,000.00 - $200,000.00 USD, accounting for various locations and skills/expertise. Please know that if you are invited to speak with a recruiter at NoRedInk, they will discuss compensation openly during your first call to ensure alignment. 

*Unfortunately, we’ve discovered a phishing scam targeting NoRedInk applicants. The scam uses a similar domain to deceive candidates, including posting our same role on LI.

1. If on LinkedIn, please ensure it is a posting associated with ourLI site

2. Verify the link is accurate by visiting ourcareers page

3. Our communications will always come from an @noredink.com address after applying.

If you have questions regarding the legitimacy of a job posting, please contact talent-acquisition@noredink.com.

*Note: Agencies or other third-party recruiters may not submit unsolicited candidate resumes or their information to any NoRedInk employee, including a NoRedInk Recruiter, unless a contract is signed and the Talent Acquisition team gives you permission to work on a job opening.

Senior Research Scientist

Remote US

Who we are

Are you passionate about innovating at the intersection of technology and personal security? At Pindrop, we recognize that the human voice is a unique personal identifier, increasingly susceptible to sophisticated fraud, including the threat of deepfakes. We're leading the way in developing cutting-edge authentication, fraud prevention, and deepfake detection. Our mission is to provide seamless and secure digital experiences, safeguarding the most personal aspect of our identity: our voice. Here, you'll be part of a team driven by values of Innovation, Customer Advocacy, Excellence, and Impact. We're not just creating a safer digital landscape by fortifying trust and integrity with those we serve, we’re also building a dynamic, supportive workplace where your contributions make a real difference.

Headquartered in Atlanta, GA, Pindrop is backed by world-class investors such as Andreessen-Horowitz, IVP, and CapitalG.

We are looking for a Senior Research Scientist (Engineer) to join the Authentication team to help us explore exciting research ideas in the area of natural language processing (NLP). This candidate will work in a world-class team of researchers and will play a key role in developing the next generation of voice and video experiences.

What you’ll do 

• Conduct experimental studies on various natural language processing and machine learning  tasks to assess accuracy and quality of pre-existing models
• Help the transition of research models into production on different platforms 
• Conduct proof-of-concept experiments on lab and customer data
• Publish patents and peer-reviewed papers in top machine learning conferences
• Help your teammates in reviewing their research projects
• Propose new ML models that improve Pindrop products

Who you are

• You are a creative problem solver who is excited about building amazing products that add real value to millions of people
• You are enthusiastic about natural language processing as well as developing research ideas into products
• You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders
• You are a self-starter and excel in a fast-paced dynamic environment 
• You are resilient in the face of challenges, change, and ambiguity
• You are optimistic and believe that you can make a problem into a solution
• You are resourceful, excited to uncover innovative solutions and teach yourself something new when needed
• You take accountability, do the things you say you’ll do, under-promise and over-deliver
• You are nimble and adaptable when priorities change and continue to see the “forest through the trees” 

Your skill-set: 

• Master and/or PhDs in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required
• 3+ years of professional experience as a researcher in natural language processing, authorship verification, language models  and/or generative AI. 
• Experience with natural language processing required
• Strong Python skills
• Experience with ML frameworks: PyTorch, TensorFlow, Keras
• Proven track record of peer-reviewed publications at prestigious conferences and journals. 
• Proven track record of successful and timely project delivery
• Strong collaboration & proven success in partnering with stakeholders
• Preferably, you have experience with NLP competitions and challenges (PAN, Kaggle, NIST SRE, Chime, etc.)
• Preferably, you have deep knowledge authentication, fraud, or customer experience concepts
• Preferably, you have experience communicating with internal and external customers around proof-of-concepts, issues, etc.

What’s in it for you:

As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO, Focus Thursday, and Company-wide Rest Days. 

• Within 30 days you’ll have been introduced to your team, colleagues and have 1:1’s to assimilate into the company culture. You will have the opportunity to learn the product in and out through training and a variety of resources
• Within 60 days you’ll understand expectations for the team, and be able to start a research project agreed upon with your direct manager.
• Within 90 days you’ll have an intermediate level of familiarity with the products and corresponding research initiatives. You will develop a strong relationship with the team and you will be able to begin executing against the research roadmap.

What we offer

As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer:

• Competitive compensation, including equity for all employees
• Unlimited Paid Time Off (PTO)
• 4 company-wide rest days in 2024 where the entire company rests and recharges!
• Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan!
• Best-in-class Health Savings Account (HSA) employer contribution
• Affordable vision and dental plans for you and your family
• Employer-provided life and disability coverage with additional supplemental options
• Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents
• Identity protection through Norton LifeLock
• One Time home office allowance
• Remote first environment - meaning you have flexibility in your day!
• Company holidays
• Annual professional development and learning benefit
• Pick your own Apple MacBook Pro
• Retirement plan with competitive 401(k) match
• Wellness Program including Employee Assistance Program, 24/7 Telemedicine

What we live by

At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work:    

• Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible.
• Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion.   We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. 
• Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time.
• Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. 
• Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world.

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

#LI-REMOTE