AI Engineer Jobs at Snorkel AI with Visa Sponsorship
AI Engineer jobs at Snorkel AI involve building data-centric AI infrastructure, and the company has an established track record of sponsoring work visas for engineering talent. If you're on F-1 OPT, H-1B visa, or TN visa status and targeting a technical role here, sponsorship is a realistic part of the conversation.
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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!
As an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation. This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
MAIN RESPONSIBILITIES
- Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment.
- Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
- Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies.
- Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
- Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
- Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
- Annual travel up to 25%.
BASIC QUALIFICATIONS
- B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
- 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses.
- Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools.
- Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark).
- Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value.
- Able to translate ambiguous business problems into testable technical approaches and measurable success criteria.
- Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
- Experience estimating scope and producing technical content for proposals and Statements of Work.
PREFERRED QUALIFICATIONS
- Compensation range is $190K - $330K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
LOCATIONS
New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
SALARY RANGE
$190,000—$330,000 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 an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation. This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
MAIN RESPONSIBILITIES
- Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment.
- Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
- Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies.
- Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
- Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
- Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
- Annual travel up to 25%.
BASIC QUALIFICATIONS
- B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
- 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses.
- Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools.
- Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark).
- Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value.
- Able to translate ambiguous business problems into testable technical approaches and measurable success criteria.
- Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
- Experience estimating scope and producing technical content for proposals and Statements of Work.
PREFERRED QUALIFICATIONS
- Compensation range is $190K - $330K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
LOCATIONS
New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
SALARY RANGE
$190,000—$330,000 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 AI Engineer Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Snorkel AI.
Get Access To All JobsTips for Finding AI Engineer Jobs at Snorkel AI
Align your portfolio with programmatic labeling
Snorkel AI's core product centers on programmatic data labeling and weak supervision. Before applying, build or document projects using labeling functions, data slicing, or foundation model fine-tuning so your portfolio speaks directly to their engineering priorities.
Clarify your visa status before your first screen
Recruiters at AI infrastructure companies move fast. State your current visa type, OPT end date, or STEM OPT extension eligibility upfront in your application so the hiring team can plan H-1B sponsorship timing around your authorization window.
Time your H-1B cap filing with your offer timeline
USCIS opens H-1B registration in early March each year, with an April 1 fiscal year start. If you receive an offer after the registration window closes, negotiate a start date that allows your employer to file in the next cycle.
Use Migrate Mate to filter AI Engineer roles by sponsorship type
Not every AI Engineer posting at tech companies lists visa sponsorship explicitly. Use Migrate Mate to surface Snorkel AI roles filtered by the specific visa categories you need, so you apply only to positions where sponsorship is confirmed.
Confirm TN eligibility against your specific role description
Canadian and Mexican nationals may qualify for TN status if the AI Engineer role maps cleanly to a USMCA occupation category such as Computer Systems Analyst or Engineer. Verify that the job description uses qualifying language before relying on TN as your pathway.
Request the LCA prevailing wage level before negotiating salary
Your employer files a Labor Condition Application with the DOL that locks in a prevailing wage level for your role and location. Understanding whether they intend to file at Level I versus Level III affects both your compensation floor and future green card sponsorship positioning.
Frequently Asked Questions
Does Snorkel AI sponsor H-1B visas for AI Engineers?
Yes, Snorkel AI sponsors H-1B visas for AI Engineer roles. As an AI infrastructure company competing for specialized engineering talent, H-1B sponsorship is a standard part of their hiring process. If you're currently on OPT or another nonimmigrant status, it's reasonable to raise sponsorship expectations during the offer stage rather than waiting until after you've accepted.
Which visa types are commonly used for AI Engineer roles at Snorkel AI?
The most common pathways for AI Engineers at Snorkel AI are H-1B sponsorship, F-1 OPT (including the three-year STEM OPT extension available to graduates in computer science and related fields), and TN status for Canadian and Mexican nationals whose role qualifies under USMCA occupation categories. Each pathway has different authorization timelines and renewal mechanics, so confirming which applies to your situation early matters.
What qualifications and experience are expected for AI Engineer roles at Snorkel AI?
Snorkel AI typically looks for hands-on experience with machine learning pipelines, large language models, or data-centric AI workflows. A bachelor's or master's degree in computer science, machine learning, or a closely related field is standard. Practical experience with Python, model fine-tuning, or programmatic data labeling frameworks strengthens an application significantly, since these align directly with Snorkel's core product architecture.
How do I apply for AI Engineer jobs at Snorkel AI?
You can browse current AI Engineer openings at Snorkel AI directly through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. When you apply, clearly state your current immigration status and any upcoming authorization deadlines in your application materials. Recruiters at technical AI companies factor sponsorship logistics into their decision-making early, so transparency at the application stage prevents delays later.
How do I time the H-1B sponsorship process if I receive an offer from Snorkel AI?
USCIS accepts H-1B registrations in early March each year for an October 1 start date. If your offer arrives after the registration window has closed, you and your employer will need to plan around the next cycle, which could mean extending OPT or STEM OPT to bridge the gap. Premium processing, which USCIS offers for an additional government fee, can accelerate adjudication once your petition is filed but does not affect the registration lottery itself.