H-1B Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify as H-1B specialty occupations under the computer-related occupations category, requiring at least a bachelor's degree in computer science, statistics, or a related field. Most ML positions fall under SOC code 15-2051 or 15-1212, which have strong H-1B filing histories at tech, finance, and healthcare companies.
See All Machine Learning Engineer JobsOverview
Showing 5 of 4,365+ Machine Learning Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 4,365+ Machine Learning Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer roles.
Get Access To All JobsINTRODUCTION
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.
ROLE AND RESPONSIBILITIES
As a Senior Staff Machine Learning Engineer, you will operate at the company level—defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface.
You will lead the design of large-scale ML systems and shared platforms that power all generative capabilities across agents, text, image, audio, and video. This role requires a strong combination of deep technical expertise, product intuition, and the ability to influence teams and leadership.
How You'll Make an Impact
- Define and drive the long-term technical vision for generative AI across Typeface’s product ecosystem
- Lead architecture and design of scalable ML platforms (training, evaluation, inference, safety) used across multiple teams
- Drive company-level ML strategy, aligning technical investments with product and business priorities
- Influence and partner with executive leadership, product, and design to shape high-impact initiatives
- Mentor senior engineers and raise the technical bar across the ML organization
- Architect and lead development of large-scale generative AI systems powering agentic orchestration and multimodal content generation
- Define and evolve shared ML infrastructure and platforms for training, fine-tuning, evaluation, and serving
- Drive cross-team initiatives spanning multiple ML systems and product areas
- Establish best practices for ML system evaluation, safety, reliability, and performance at scale
- Identify and incubate 0→1 opportunities in generative AI with high business impact
- Make high-leverage technical decisions that unlock velocity across teams
- Mentor and guide engineers across levels, influencing design and execution beyond your immediate team
WHAT YOU BRING
- 12+ years of experience building and scaling machine learning systems, with demonstrated impact at Staff+ level
- Master’s or PhD degree in Computer Science or a related field
- Proven track record of driving multi-team or company-level technical strategy
- Experience leading large, ambiguous, high-impact initiatives (platforms and/or 0→1 systems)
- Deep expertise in ML systems and infrastructure, including training, evaluation, and inference at scale
- Strong background in Generative AI / LLMs / multimodal systems
- Demonstrated ability to influence senior leadership and align cross-functional stakeholders
- Track record of mentoring senior engineers and elevating engineering excellence
- Proficiency in Python and systems-level programming (C/C++ or equivalent)
Bonus:
- Experience building ML platforms used across multiple products or teams
- Prior role as a Staff+ / Principal / Senior Staff engineer at a leading AI or technology company
- Contributions to the field (publications, patents, open-source, or widely adopted systems)
- Experience in enterprise SaaS or high-growth startup environments
LOCATION
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
BASE SALARY
The range for this role is $220,000-$247,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
BENEFITS
- Competitive compensation — including salary, equity, and 401(k)
- Full medical, dental, and vision insurance for you and your family
- HSA and FSA options to support your financial wellness
- Flexible time off — including parental leave
- Well-being programs — resources to support your mental and physical health
- Daily lunch & snacks
- Mentorship & impact — work closely with top AI leaders on products that ship
EQUALITY OPPORTUNITY STATEMENT
We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.
WHY YOU’LL LOVE WORKING HERE
- Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.
- Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.
- A+ team — Collaborate with veterans from Adobe, Microsoft, Google, and top AI companies.
- Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).
- Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
INTRODUCTION
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.
ROLE AND RESPONSIBILITIES
As a Senior Staff Machine Learning Engineer, you will operate at the company level—defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface.
You will lead the design of large-scale ML systems and shared platforms that power all generative capabilities across agents, text, image, audio, and video. This role requires a strong combination of deep technical expertise, product intuition, and the ability to influence teams and leadership.
How You'll Make an Impact
- Define and drive the long-term technical vision for generative AI across Typeface’s product ecosystem
- Lead architecture and design of scalable ML platforms (training, evaluation, inference, safety) used across multiple teams
- Drive company-level ML strategy, aligning technical investments with product and business priorities
- Influence and partner with executive leadership, product, and design to shape high-impact initiatives
- Mentor senior engineers and raise the technical bar across the ML organization
- Architect and lead development of large-scale generative AI systems powering agentic orchestration and multimodal content generation
- Define and evolve shared ML infrastructure and platforms for training, fine-tuning, evaluation, and serving
- Drive cross-team initiatives spanning multiple ML systems and product areas
- Establish best practices for ML system evaluation, safety, reliability, and performance at scale
- Identify and incubate 0→1 opportunities in generative AI with high business impact
- Make high-leverage technical decisions that unlock velocity across teams
- Mentor and guide engineers across levels, influencing design and execution beyond your immediate team
WHAT YOU BRING
- 12+ years of experience building and scaling machine learning systems, with demonstrated impact at Staff+ level
- Master’s or PhD degree in Computer Science or a related field
- Proven track record of driving multi-team or company-level technical strategy
- Experience leading large, ambiguous, high-impact initiatives (platforms and/or 0→1 systems)
- Deep expertise in ML systems and infrastructure, including training, evaluation, and inference at scale
- Strong background in Generative AI / LLMs / multimodal systems
- Demonstrated ability to influence senior leadership and align cross-functional stakeholders
- Track record of mentoring senior engineers and elevating engineering excellence
- Proficiency in Python and systems-level programming (C/C++ or equivalent)
Bonus:
- Experience building ML platforms used across multiple products or teams
- Prior role as a Staff+ / Principal / Senior Staff engineer at a leading AI or technology company
- Contributions to the field (publications, patents, open-source, or widely adopted systems)
- Experience in enterprise SaaS or high-growth startup environments
LOCATION
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
BASE SALARY
The range for this role is $220,000-$247,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
BENEFITS
- Competitive compensation — including salary, equity, and 401(k)
- Full medical, dental, and vision insurance for you and your family
- HSA and FSA options to support your financial wellness
- Flexible time off — including parental leave
- Well-being programs — resources to support your mental and physical health
- Daily lunch & snacks
- Mentorship & impact — work closely with top AI leaders on products that ship
EQUALITY OPPORTUNITY STATEMENT
We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.
WHY YOU’LL LOVE WORKING HERE
- Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.
- Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.
- A+ team — Collaborate with veterans from Adobe, Microsoft, Google, and top AI companies.
- Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).
- Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
See all 4,365+ Machine Learning Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Machine Learning Engineer
Verify your SOC code before applying
ML Engineer roles get filed under different SOC codes depending on the employer. Check the O*NET profile for 15-2051 and 15-1212 to confirm your job duties align, since a SOC mismatch can trigger an RFE on specialty occupation grounds.
Target employers with certified LCA history
Filter employers by their DOL Labor Condition Application filings for ML-specific job titles before you apply. Migrate Mate surfaces this LCA data by occupation, so you can see which companies have filed for roles matching your background.
Document your degree equivalency early
If your degree is from outside the U.S. or in a field adjacent to ML, get a credential evaluation before your employer files. USCIS scrutinizes degree-to-role fit for ML positions, and a credential evaluation letter strengthens the specialty occupation argument.
Negotiate premium processing into your offer
Standard H-1B processing can run several months, which creates gaps if you're transitioning from OPT or another status. Ask during negotiations whether the employer will file with USCIS premium processing so your petition adjudicates within 15 business days.
Check prevailing wage level before accepting an offer
Your employer must certify your salary meets the DOL prevailing wage for your SOC code and work location. Use the OFLC Wage Search to look up Level I through Level IV wages for ML roles in your metro area before you sign.
Prepare for research exemption eligibility questions
ML Engineers at universities or nonprofit research organizations may qualify for cap-exempt H-1B sponsorship, bypassing the lottery entirely. Confirm whether your employer holds cap-exempt status with USCIS before assuming you need to compete in the annual lottery.
Machine Learning Engineer jobs are hiring across the US. Find yours.
Find Machine Learning Engineer JobsMachine Learning Engineer H-1B Visa: Frequently Asked Questions
Does a Machine Learning Engineer role qualify as an H-1B specialty occupation?
Yes. ML Engineer positions require at least a bachelor's degree in computer science, data science, statistics, or a closely related field, which meets the USCIS specialty occupation definition. Employers document this in the H-1B petition by tying the job duties, such as model development and algorithm design, to that specific degree requirement. Roles that accept any bachelor's degree regardless of field are harder to defend and more likely to receive an RFE.
Which SOC codes do employers use when filing H-1B petitions for ML Engineers?
Most employers file under SOC 15-2051 (Data Scientists) or SOC 15-1212 (Information Security Analysts), though some use 15-1299 (Computer Occupations, All Other) depending on how the job duties are framed. The SOC code affects the DOL prevailing wage tier and the strength of the specialty occupation argument. Confirm which code your employer intends to use before the LCA is filed, since changing it later requires refiling with DOL.
How do I find employers who have sponsored H-1B visas for Machine Learning Engineer jobs?
Search Migrate Mate to browse ML Engineer roles filtered by employers with verified H-1B LCA filing history. DOL LCA disclosure data is public and shows which companies have certified positions under ML-related SOC codes. Targeting employers with an established sponsorship track record reduces the risk of encountering a company unfamiliar with the H-1B process mid-hiring-cycle.
Can I transfer my H-1B to a new ML Engineer role without losing my place in the cap?
Yes. If you've already been counted against the H-1B cap, you can transfer your H-1B to a new employer through the H-1B portability provision under AC21, which lets you start work as soon as the new I-129 is filed, not after approval. Your new employer files a new LCA with DOL for the specific ML role and location, then petitions USCIS. You don't reenter the lottery.
What triggers an RFE on an H-1B petition for a Machine Learning Engineer position?
The two most common RFE triggers for ML Engineer petitions are specialty occupation disputes and degree-field mismatches. USCIS may question whether the role genuinely requires a specific bachelor's degree if the job description is broad or lists multiple qualifying fields. Employers strengthen the petition by providing industry wage data, internal job posting requirements, and documentation showing that ML roles across the industry require the same degree field.
See which Machine Learning Engineer employers are hiring and sponsoring visas right now.
Search Machine Learning Engineer Jobs