Mechanical Engineer Jobs at Snorkel AI with Visa Sponsorship
Mechanical Engineer roles at Snorkel AI sit at the intersection of hardware and AI infrastructure, supporting the physical systems that power data-centric machine learning platforms. Snorkel AI has a track record of sponsoring work visas for engineering talent, including H-1B and TN pathways, making it a realistic target for international candidates.
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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!
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.
See all 28+ Mechanical Engineer at Snorkel AI jobs
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Get Access To All JobsTips for Finding Mechanical Engineer Jobs at Snorkel AI Jobs
Align your portfolio to AI hardware needs
Snorkel AI builds infrastructure for programmatic data labeling, so mechanical engineering candidates who document experience with server cooling, rack design, or precision hardware for compute-dense environments will stand out over generalist portfolios.
Confirm TN eligibility before applying
If you hold Canadian or Mexican citizenship, the TN visa covers engineers and can be processed at the border without a USCIS petition. Verify your engineering degree matches DOL's TN classification requirements before your interview.
Prepare credential documentation for specialty occupation review
USCIS requires that H-1B petitions for mechanical engineering roles demonstrate a direct connection between your degree field and the specific job duties. Gather transcripts, course descriptions, and any relevant licenses now, before a petition is filed.
Target open roles through Migrate Mate
Use Migrate Mate to filter Mechanical Engineer openings at Snorkel AI by visa sponsorship type, so you're only applying to roles where sponsorship is confirmed rather than inferred from job description language.
Time your application around H-1B cap windows
If you're not cap-exempt and need a new H-1B, USCIS opens registration in March for an October 1 start date. Securing an offer by February gives Snorkel AI enough runway to register you before the lottery closes.
Mechanical Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find Mechanical Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Mechanical Engineers?
Yes, Snorkel AI has sponsored H-1B visas for engineering roles, including Mechanical Engineers. The company operates in the Technology and Software sector, where H-1B sponsorship is a standard part of hiring international talent. If you're on OPT or need a new H-1B, it's worth confirming sponsorship availability directly during the offer negotiation stage.
How do I apply for Mechanical Engineer jobs at Snorkel AI?
You can browse and apply for Mechanical Engineer positions at Snorkel AI through Migrate Mate, which filters roles by visa sponsorship type so you know upfront whether a position supports H-1B, F-1 OPT, or TN. From there, applications typically go through Snorkel AI's careers portal, where you'll submit a resume and may complete a technical screening.
Which visa types are commonly used for Mechanical Engineer roles at Snorkel AI?
Snorkel AI sponsors H-1B visas, supports F-1 OPT (including the 24-month STEM OPT extension available to engineering graduates), and uses the TN visa category for Canadian and Mexican citizens who hold qualifying engineering degrees. The right pathway depends on your citizenship, current status, and how far in advance your start date falls relative to H-1B cap deadlines.
What qualifications are expected for Mechanical Engineer roles at Snorkel AI?
Snorkel AI's mechanical engineering needs center on hardware supporting high-density AI compute infrastructure, so relevant experience in thermal management, precision fabrication, or data center hardware is valued. A bachelor's degree or higher in mechanical engineering is the baseline for H-1B specialty occupation classification. Hands-on experience with CAD tools and hardware prototyping is commonly expected at this type of company.
How do I understand the timeline for H-1B sponsorship at Snorkel AI?
If Snorkel AI files an H-1B on your behalf, USCIS opens the registration window in March for an October 1 start date. Standard processing runs three to six months after selection. If you need work authorization before October, your employer can bridge the gap using your OPT period or apply for premium processing, which USCIS adjudicates within 15 business days.
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