Data Science Engineer Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI builds data-centric AI infrastructure, and Data Science Engineer roles here sit at the intersection of machine learning engineering and applied research. Snorkel has a track record of sponsoring international talent across H-1B, F-1 OPT, and TN categories for technical functions like this one.
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At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Team
We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.
About the Role
- Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
- Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
- Generate and refine synthetic data at massive scale
- Create and evaluate agentic systems that reason, act, and improve over time
- Provision RL training environments and simulation frameworks for next-generation AI agents
- Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
- Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
About You
- 6+ years of experience building customer-facing, cloud-native software systems
- Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
Salary Range
- Salary Range: $192,000—$240,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Team
We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.
About the Role
- Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
- Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
- Generate and refine synthetic data at massive scale
- Create and evaluate agentic systems that reason, act, and improve over time
- Provision RL training environments and simulation frameworks for next-generation AI agents
- Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
- Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
About You
- 6+ years of experience building customer-facing, cloud-native software systems
- Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
Salary Range
- Salary Range: $192,000—$240,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
See all 29+ Data Science Engineer at Snorkel AI jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Snorkel AI Jobs
Build a portfolio around programmatic labeling
Snorkel AI's core product is built on weak supervision and programmatic data labeling. Demonstrating hands-on experience with label functions, data slicing, or foundation model fine-tuning in your portfolio directly aligns with what their engineering team evaluates.
Confirm OPT STEM extension eligibility early
Data Science Engineering typically qualifies under STEM OPT, giving you up to 36 months of work authorization. Verify your degree program's CIP code with your DSO before your initial OPT expires so Snorkel AI has enough runway to plan an H-1B sponsorship cycle.
Target roles that map to a specialty occupation
USCIS requires that H-1B roles require at least a bachelor's degree in a specific technical field. For Data Science Engineer positions at Snorkel AI, a degree in computer science, statistics, or a closely related field strengthens your petition and reduces the risk of a Request for Evidence.
Time your application to the H-1B registration window
Snorkel AI participates in the annual H-1B lottery, with USCIS registration opening each March. Securing an offer and completing all employer paperwork before early March gives your sponsoring team enough time to register without scrambling at the deadline.
Use Migrate Mate to find open Data Science Engineer roles
Snorkel AI posts multiple Data Science Engineer openings at a time, and availability shifts quickly. Use Migrate Mate to filter for current openings at Snorkel AI filtered by your visa type so you're applying to roles that are actively accepting sponsored candidates.
Clarify TN eligibility if you hold Canadian or Mexican citizenship
TN status covers Computer Systems Analysts and related scientific roles under USMCA. If your job duties and degree align with a qualifying TN category, Snorkel AI can onboard you without waiting for the H-1B lottery, which significantly accelerates your start date.
Data Science Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find Data Science Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Data Science Engineers?
Yes, Snorkel AI sponsors H-1B visas for Data Science Engineer roles. The company has an established pattern of filing H-1B petitions for technical positions. If you're on F-1 OPT, Snorkel AI can also support STEM OPT extensions, which give you additional work authorization time ahead of an H-1B registration cycle.
How do I apply for Data Science Engineer jobs at Snorkel AI?
Apply directly through Snorkel AI's careers page or find open roles filtered by visa type on Migrate Mate. When applying, tailor your materials to reflect experience with data pipelines, labeling systems, or ML model evaluation, since those map closely to Snorkel AI's core product areas. Noting your work authorization status upfront helps the recruiting team move efficiently.
Which visa types does Snorkel AI commonly use for Data Science Engineers?
Snorkel AI sponsors H-1B and supports F-1 OPT and STEM OPT for Data Science Engineer roles. Canadian and Mexican nationals may also qualify under TN status if their degree and job duties align with a covered USMCA professional category, such as Computer Systems Analyst, without needing to go through the H-1B lottery.
What qualifications does Snorkel AI expect for a Data Science Engineer role?
Snorkel AI typically looks for a bachelor's or master's degree in computer science, machine learning, statistics, or a closely related field. Practical experience with Python, large-scale data pipelines, and model training or evaluation is expected. Familiarity with weak supervision, data labeling workflows, or foundation models is a strong differentiator for roles tied to Snorkel's core platform.
How do I plan my timeline if I need H-1B sponsorship at Snorkel AI?
The H-1B lottery opens in March each year, with an October 1 start date if selected. If you're on OPT, securing your offer several months before the March registration window gives Snorkel AI's legal team time to prepare your petition. USCIS premium processing is available and can reduce approval wait times to roughly 15 business days once a petition is filed.
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