Engineering Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI's engineering team works 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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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 Role
Snorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This team is responsible for the technical execution layer of DaaS delivery — owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale. You will lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable. This is a where you’ll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects. You’ll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads.
Main Responsibilities
- Build and lead the Forward Deployed Engineering function, defining the team’s operating model, technical roadmap, and standards for execution
- Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and engineering excellence
- Own the design and evolution of end-to-end AI data pipelines, including dataset generation, evaluation systems, and quality frameworks
- Establish and standardize measurement, benchmarking, and validation systems to ensure consistent, high-quality dataset delivery
- Develop scalable internal tooling and workflows for orchestration, monitoring, and delivery, reducing bottlenecks and improving throughput
- Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities
What We’re Looking For
- ~7+ years of experience in data engineering, SWE, ML engineering, or applied AI roles, with strong hands-on technical depth
- 2+ years of experience leading or managing engineers in a hands-on, player-coach capacity
- Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments
- Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs
- Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems
- Proven ability to operate in ambiguous, fast-paced environments and drive execution across cross-functional teams
- Strong systems thinking — ability to design scalable, reusable solutions rather than one-off implementations
Nice To Have
- Familiarity with synthetic data generation or model-assisted labeling techniques
- Experience building internal platforms or tooling for delivery or operations teams
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.
Salary Range
$220,000—$320,000 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 Role
Snorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This team is responsible for the technical execution layer of DaaS delivery — owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale. You will lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable. This is a where you’ll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects. You’ll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads.
Main Responsibilities
- Build and lead the Forward Deployed Engineering function, defining the team’s operating model, technical roadmap, and standards for execution
- Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and engineering excellence
- Own the design and evolution of end-to-end AI data pipelines, including dataset generation, evaluation systems, and quality frameworks
- Establish and standardize measurement, benchmarking, and validation systems to ensure consistent, high-quality dataset delivery
- Develop scalable internal tooling and workflows for orchestration, monitoring, and delivery, reducing bottlenecks and improving throughput
- Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities
What We’re Looking For
- ~7+ years of experience in data engineering, SWE, ML engineering, or applied AI roles, with strong hands-on technical depth
- 2+ years of experience leading or managing engineers in a hands-on, player-coach capacity
- Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments
- Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs
- Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems
- Proven ability to operate in ambiguous, fast-paced environments and drive execution across cross-functional teams
- Strong systems thinking — ability to design scalable, reusable solutions rather than one-off implementations
Nice To Have
- Familiarity with synthetic data generation or model-assisted labeling techniques
- Experience building internal platforms or tooling for delivery or operations teams
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.
Salary Range
$220,000—$320,000 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 Engineering Jobs at Snorkel AI Jobs
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.
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.
Engineering at Snorkel AI jobs are hiring across the US. Find yours.
Find Engineering at Snorkel AI JobsFrequently 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 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.
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