TN Visa AI ML Engineer Jobs
AI ML Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, covering machine learning, model development, and AI infrastructure work. Canadian citizens can enter at the port of entry the same day their employer files. Mexican nationals require a consular appointment. No lottery, no cap for Canadians.
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Get Access To All JobsABOUT THE ROLE
At Sigma, we're not just adding AI—we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
That's where you come in. As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
WHAT YOU BRING
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it's recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
BONUS POINTS (OR SKILLS YOU'LL BUILD HERE)
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You've worked in a fast-moving startup or high-growth environment
ADDITIONAL JOB DETAILS
The base salary range for this position is $240k - $270k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.
Come join us!
BENEFITS FOR OUR FULL-TIME EMPLOYEES:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
OUR PRIVACY PRACTICES
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).
SIGMA'S USE OF AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
ABOUT THE ROLE
At Sigma, we're not just adding AI—we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
That's where you come in. As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
WHAT YOU BRING
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it's recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
BONUS POINTS (OR SKILLS YOU'LL BUILD HERE)
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You've worked in a fast-moving startup or high-growth environment
ADDITIONAL JOB DETAILS
The base salary range for this position is $240k - $270k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.
Come join us!
BENEFITS FOR OUR FULL-TIME EMPLOYEES:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
OUR PRIVACY PRACTICES
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).
SIGMA'S USE OF AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
See all 2,929+ AI ML Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI ML Engineer
Match your credentials to the right TN category
AI ML Engineer roles file under Computer Systems Analyst, but your degree field matters. A computer science or software engineering degree is clean. A math or statistics degree needs a role description that centers systems design, not pure research, to hold up at inspection.
Prepare a technical role letter that passes CBP review
Your employer's support letter must describe day-to-day duties in systems terms, not research terms. CBP officers are not ML experts. Phrases like 'designing and deploying machine learning pipelines' land better than 'conducting experiments in model optimization.'
Target employers with recent visa filing experience
Employers with recent visa filings for similar roles demonstrate experience with work visa sponsorship processes. Look for companies hiring AI/ML engineers that have sponsored work visas before—these employers typically understand the support letter requirements and professional qualifications needed for TN status eligibility.
Ask about Canadian versus Mexican processing timelines before accepting
Canadian citizens can activate TN status at the port of entry the day the offer is finalized. Mexican nationals need a consular appointment, which adds weeks. Clarify this with your employer before signing so your start date is realistic.
Use Migrate Mate to find employers already sponsoring TN visas
Many AI ML Engineer openings never mention TN sponsorship explicitly. Migrate Mate surfaces employers with recent visa filings and experience sponsoring work visas, so you can focus your applications on companies already familiar with visa-sponsored hiring before your first interview.
Get your job offer letter reviewed before crossing the border
For Canadians using port-of-entry processing, CBP can deny entry on the spot if your offer letter is ambiguous. Have your employer confirm that the letter explicitly states your title, duties, degree requirement, and that the position qualifies as a specialty occupation under USMCA.
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Find AI ML Engineer JobsAI ML Engineer TN Visa: Frequently Asked Questions
Does an AI ML Engineer role qualify for TN visa sponsorship?
Yes, provided the role is framed around systems analysis, model deployment, or AI infrastructure rather than pure academic research. USCIS and CBP evaluate TN petitions for these roles under the Computer Systems Analyst category. Your employer's offer letter must establish that a theoretical and practical application of computer systems knowledge is central to the position.
How does TN compare to H-1B for AI ML Engineer positions?
TN has no annual cap and no lottery for Canadian citizens, so you can start working as soon as CBP approves your application at the port of entry. H-1B requires entering an oversubscribed lottery with a single annual window. TN is employer-tied and non-dual-intent, but it renews indefinitely in two-year increments as long as you hold a qualifying offer.
Can a Mexican citizen get TN sponsorship for an AI ML Engineer job?
Yes, but the process differs from Canada's. Mexican nationals must apply at a U.S. consulate in Mexico rather than at the border, which adds scheduling time. USCIS also administers a separate TN petition route for Mexican applicants. There is a numerical limit on TN visas for Mexican citizens annually, unlike the uncapped Canadian stream.
Where can I find AI ML Engineer jobs that already offer TN visa sponsorship?
Migrate Mate specializes in connecting Canadian and Mexican professionals with employers that have verified TN visa sponsorship history. Rather than filtering generic job listings by hand, Migrate Mate surfaces roles where employers are already familiar with TN requirements for technical positions like AI ML Engineer, which reduces friction at the offer stage.
What happens to my TN status if my AI ML Engineer role changes significantly?
A material change in job duties, title, or employer requires a new TN petition. If your role shifts from systems-focused ML engineering into research or product management, CBP or USCIS may determine the position no longer qualifies under Computer Systems Analyst. Your employer should file an amended or new TN before the duties change, not after.
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