Engineering Jobs at Snorkel AI with Visa Sponsorship
Engineering jobs at Snorkel AI involve working on data-centric AI infrastructure, including programmatic labeling, foundation model fine-tuning, and ML platform tooling. The company has a track record of sponsoring work visas for engineering talent, making it a realistic target for international candidates in software and machine learning roles.
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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 since 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 Role
In this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives.
You’ll lead a team that will own quality in the end-to-end data pipeline. This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform. You will design innovative ML approaches to enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes. Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of data engineering, ML engineering, operations, and customer engagement—leading scoping and preselling efforts. You'll also partner closely with the Snorkel delivery team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale.
Main Responsibilities
- Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
- Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact.
- Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
- Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
- Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
- Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
- Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality
What We’re Looking For
- 10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity
- Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows.
- Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
- Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
- Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
- Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
- Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs
Why Join Snorkel AI?
At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company.
The base salary range for this role is $268,800 to $403,200. This position is also eligible for variable compensation and equity in the form of stock options, with final compensation determined based on factors such as experience, skills, qualifications, and location. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $268,800—$403,000 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 since 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 Role
In this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives.
You’ll lead a team that will own quality in the end-to-end data pipeline. This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform. You will design innovative ML approaches to enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes. Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of data engineering, ML engineering, operations, and customer engagement—leading scoping and preselling efforts. You'll also partner closely with the Snorkel delivery team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale.
Main Responsibilities
- Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
- Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact.
- Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
- Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
- Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
- Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
- Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality
What We’re Looking For
- 10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity
- Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows.
- Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
- Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
- Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
- Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
- Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs
Why Join Snorkel AI?
At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company.
The base salary range for this role is $268,800 to $403,200. This position is also eligible for variable compensation and equity in the form of stock options, with final compensation determined based on factors such as experience, skills, qualifications, and location. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $268,800—$403,000 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 Engineering Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Snorkel AI.
Get Access To All JobsTips for Finding Engineering Jobs at Snorkel AI
Tailor your resume for ML infrastructure roles
Snorkel AI hires engineers who work at the intersection of data pipelines and model development. Highlight experience with programmatic labeling, weak supervision, or LLM fine-tuning workflows so your profile aligns with the technical scope they actually hire for.
Confirm your OPT authorization covers your start date
F-1 OPT authorization has a fixed end date, and USCIS processing for extensions or transfers isn't instant. Verify your OPT validity window before accepting an offer so there's no gap between your start date and authorized work status.
Ask about H-1B sponsorship timing during the offer stage
H-1B cap-subject petitions can only be filed once per year with an October 1 start date. If your offer comes outside the March registration window, clarify with the recruiter how the company bridges status in the interim.
Understand what the LCA filing requires from your employer
Before H-1B sponsorship begins, your employer must file a Labor Condition Application with the DOL certifying your wage meets the prevailing rate for your role and location. Knowing this step helps you have an informed conversation with HR about expected timelines.
Target roles where your technical stack matches open positions
Use Migrate Mate to filter Snorkel AI's open engineering positions by visa type and role. Applying to roles that closely match your background in ML systems or data infrastructure gives you a stronger sponsorship case when the employer assesses petition risk.
Check TN eligibility if you hold Canadian or Mexican citizenship
TN status is available to Canadian and Mexican citizens in qualifying USMCA occupations, including software engineering roles. It can be obtained at the port of entry without a lottery, making it a faster path to starting work than an H-1B if you qualify.
Frequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Engineers?
Yes, Snorkel AI sponsors H-1B visas for engineering roles. Sponsorship is subject to USCIS's annual H-1B lottery, which runs in March for an October 1 start date. If you're currently on F-1 OPT, you can begin working while your employer registers you in the lottery, provided your OPT remains valid.
How do I apply for Engineering jobs at Snorkel AI?
You can browse and apply for Snorkel AI's open engineering positions directly through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. Snorkel AI's engineering roles typically span ML infrastructure, data tooling, and platform engineering, so tailor your application materials to the specific team you're targeting.
Which visa types does Snorkel AI commonly use for Engineering roles?
Snorkel AI sponsors H-1B visas for most full-time engineering hires and supports F-1 OPT for candidates completing U.S. degrees. TN visa status is an option for Canadian and Mexican citizens in qualifying software engineering roles under the USMCA. The right visa depends on your citizenship, degree field, and where you are in your current status.
What qualifications does Snorkel AI expect for Engineering candidates?
Snorkel AI's engineering roles generally require a bachelor's degree or higher in computer science, software engineering, or a closely related field, which also satisfies the H-1B specialty occupation standard. Practical experience with ML systems, data pipelines, or distributed infrastructure carries significant weight, particularly for roles touching foundation model tooling or programmatic labeling platforms.
How do I time my application around H-1B sponsorship deadlines?
The H-1B registration window opens in early March each year, with USCIS conducting the lottery shortly after. To be included, you need a job offer in hand before registration closes. Targeting Snorkel AI's open engineering roles in January or February gives you time to complete interviews, receive an offer, and have your employer register you before the deadline.