AI Product Engineer Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI hires AI Product Engineers to bridge research-grade data tooling and enterprise deployment, making deep technical fluency a core expectation. The company has a track record of sponsoring work visas for this function, and the role sits well within the specialty occupation criteria that underpin H-1B and TN filings.
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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!
As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.
Main Responsibilities
- Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
- Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
- Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
- Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
- Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
- Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
- Build proactively with empathy for both customers and subject matter experts using our tools.
- Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
- Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
Qualifications
- 8+ years of software engineering experience
- 6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
- Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
- Expertise designing REST for internal services and developers.
- Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
- Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
- Comfortable working with:
- Infra & deployment technologies: Terraform, Docker, Kubernetes.
- CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm.
- Ability to work in a fast-paced environment with strong technical communication skills.
- Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.
Nice to Have
- Experience in hyper-growth startup environments or scaling engineering orgs.
- Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
- Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.
Work Schedule
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
Salary Range
- $190,000—$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!
As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.
Main Responsibilities
- Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
- Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
- Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
- Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
- Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
- Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
- Build proactively with empathy for both customers and subject matter experts using our tools.
- Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
- Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
Qualifications
- 8+ years of software engineering experience
- 6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
- Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
- Expertise designing REST for internal services and developers.
- Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
- Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
- Comfortable working with:
- Infra & deployment technologies: Terraform, Docker, Kubernetes.
- CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm.
- Ability to work in a fast-paced environment with strong technical communication skills.
- Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.
Nice to Have
- Experience in hyper-growth startup environments or scaling engineering orgs.
- Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
- Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.
Work Schedule
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
Salary Range
- $190,000—$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.
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Get Access To All JobsTips for Finding AI Product Engineer Jobs at Snorkel AI Jobs
Frame your portfolio around data-centric AI
Snorkel AI's product suite centers on programmatic labeling and foundation model fine-tuning. Highlight projects where you built or evaluated data pipelines for ML training, not just model experimentation. Recruiters here screen for applied data engineering judgment, not research credentials alone.
Confirm your role qualifies as specialty occupation
USCIS requires a direct connection between your degree field and the job duties for H-1B approval. For an AI Product Engineer role, a degree in computer science, machine learning, or a closely related field strengthens your petition significantly compared to a general engineering background.
Use Migrate Mate to surface active AI Product Engineer openings
Snorkel AI posts AI Product Engineer roles across product and platform tracks, and timing your application to active headcount cycles matters. Use Migrate Mate to filter open roles at Snorkel AI by visa sponsorship eligibility so you apply when the position and sponsorship pathway are both live.
Understand how TN status fits this role
Canadian and Mexican nationals can pursue TN status for computer systems analyst roles without waiting on the H-1B lottery. Confirm your offer letter describes duties that align with a recognized TN occupation category, since AI Product Engineer titles require careful framing to fit USMCA's defined list.
Ask about OPT cap-gap support during offer negotiation
If your F-1 OPT authorization expires before an H-1B approval, the cap-gap rule extends your work authorization through September 30 of that year. Confirm Snorkel AI's HR team understands this bridge period before your start date, so your I-94 status and employment timing are aligned from day one.
Get your LCA public access file request ready early
Once Snorkel AI files a Labor Condition Application with the DOL on your behalf, they're required to post a notice at the work location and maintain a public access file. Request confirmation that this is completed, since LCA deficiencies are one of the most common H-1B petition delay triggers.
AI Product Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find AI Product Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for AI Product Engineers?
Yes, Snorkel AI sponsors H-1B visas for AI Product Engineer roles. The position qualifies as a specialty occupation under USCIS criteria, given its requirement for a bachelor's degree or higher in a specific technical field such as computer science or machine learning. You'll need your employer to file a certified Labor Condition Application with the DOL before the H-1B petition can be submitted to USCIS.
How do I apply for AI Product Engineer jobs at Snorkel AI?
You can apply directly through Snorkel AI's careers page or find their open AI Product Engineer roles filtered by visa sponsorship eligibility on Migrate Mate. Before applying, tailor your resume to reflect experience with data labeling workflows, foundation model evaluation, or ML pipeline development, since those are the competencies Snorkel AI's hiring process is designed to assess at the screening stage.
Which visa types are commonly used for AI Product Engineer roles at Snorkel AI?
H-1B is the primary visa pathway for AI Product Engineers at Snorkel AI, requiring an approved Labor Condition Application and a specialty occupation determination by USCIS. F-1 OPT and STEM OPT extensions are also used for recent graduates, providing up to three years of work authorization. Canadian and Mexican nationals may qualify for TN status if their job duties align with a recognized USMCA occupation category.
What qualifications does Snorkel AI expect for AI Product Engineer roles?
Snorkel AI's AI Product Engineer roles typically require a bachelor's or master's degree in computer science, software engineering, or a related field, alongside hands-on experience building or evaluating ML systems. Practical familiarity with data pipeline tooling, model evaluation frameworks, or large language model integration is weighted heavily. Purely academic research backgrounds without production or product exposure are generally less competitive for this track.
How do I plan my timeline for H-1B sponsorship when targeting Snorkel AI?
USCIS opens H-1B registration in March each year for an October 1 start date, so your offer needs to be in place before that window. If you're on F-1 STEM OPT, you may have up to three years of work authorization to bridge that gap. Start engaging Snorkel AI's recruiting team at least six months before your current authorization expires to give the LCA filing and USCIS processing enough lead time.
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