Analytics Engineer Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI hires Analytics Engineers to work at the intersection of data infrastructure and machine learning pipelines, a combination that rewards both SQL depth and engineering fluency. The company has a track record of sponsoring work visas for technical roles, making it a realistic target if you need employer support.
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Get Access To All JobsAbout 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.
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 28+ Analytics Engineer at Snorkel AI jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Snorkel AI Jobs
Tailor your portfolio to data labeling workflows
Snorkel AI's core product centers on programmatic data labeling and foundation model fine-tuning. Analytics Engineers who can show experience building pipelines or metrics frameworks around ML training data will stand out from candidates with generic BI backgrounds.
Confirm OPT eligibility before your interview closes
If you're on F-1 OPT, verify your remaining authorization window against the role's expected start date. STEM OPT extensions add 24 months, but your employer must be enrolled in E-Verify before your standard OPT expires or the extension is invalid.
Clarify H-1B sponsorship intent during the offer stage
Ask directly whether the offer includes H-1B sponsorship before you reach the verbal offer, not after. For roles in AI infrastructure, Snorkel AI's technical hiring managers typically have more context on this than recruiting coordinators.
Align your degree field to specialty occupation requirements
USCIS requires that an Analytics Engineer position qualify as a specialty occupation, meaning your degree field must directly relate to the role's duties. A computer science, statistics, or data engineering degree strengthens your petition; a business or liberal arts degree may require additional documentation.
Use Migrate Mate to filter open Analytics Engineer roles at Snorkel AI
Search and filter Analytics Engineer postings at Snorkel AI by visa sponsorship type on Migrate Mate. This saves time verifying which specific roles have active sponsorship support versus general openings that may not include it.
Request the LCA wage level before accepting the offer
Your employer files a Labor Condition Application with the DOL before submitting your H-1B petition. The wage level assigned in the LCA directly affects your offered salary's compliance. Ask HR which prevailing wage level the role is benchmarked against so there are no surprises at filing.
Analytics Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find Analytics Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Analytics Engineers?
Yes, Snorkel AI has sponsored H-1B visas for technical roles including Analytics Engineers. Sponsorship is not automatic with every offer, so confirm it explicitly during the offer negotiation stage. The process involves your employer filing a Labor Condition Application with the DOL and then submitting an H-1B petition to USCIS, subject to the annual cap and lottery.
How do I apply for Analytics Engineer jobs at Snorkel AI?
You can browse and apply for Analytics Engineer openings at Snorkel AI directly through their careers page or through Migrate Mate, which filters roles by visa sponsorship type so you can confirm support upfront. Prepare to demonstrate hands-on experience with data modeling, pipeline architecture, and ideally familiarity with ML data workflows, since Snorkel AI's stack is tightly tied to foundation model development.
Which visa types are commonly used for Analytics Engineer roles at Snorkel AI?
H-1B and F-1 OPT are the most common visa types for Analytics Engineers at technology companies like Snorkel AI. TN visas are an option for Canadian and Mexican nationals in qualifying occupations. Each pathway has different timelines: OPT authorization is immediate, TN status can be obtained at the border, and H-1B petitions are subject to the annual lottery and October 1 start dates.
What qualifications are expected for Analytics Engineer roles at Snorkel AI?
Snorkel AI typically looks for Analytics Engineers with strong SQL and data modeling skills, experience with tools like dbt or Airflow, and comfort working in Python-heavy engineering environments. Given the company's focus on machine learning infrastructure, familiarity with ML pipelines or data labeling workflows is a meaningful differentiator. A bachelor's degree in computer science, statistics, or a related technical field is generally expected.
How do I time my application if I need H-1B sponsorship from Snorkel AI?
H-1B petitions must be filed by April 1 for an October 1 start date, so back-planning matters. If you're finishing OPT, your employer needs enough lead time to prepare the Labor Condition Application and petition before your current authorization expires. Starting conversations with Snorkel AI's recruiting team at least six months before your OPT end date gives both sides realistic runway.
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