H-1B Visa ML Engineer Jobs
ML Engineer roles qualify as H-1B specialty occupations because they require at least a bachelor's degree in computer science, statistics, or a related field. Most ML positions fall under SOC code 15-2051 (Data Scientists) or 15-1256 (Software Developers), which affects your prevailing wage level and LCA filing. Cap-subject H-1B registration opens each March for an October 1 start date.
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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 4,364+ ML Engineer jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a ML Engineer
Map your degree to SOC codes
ML Engineer roles get filed under different SOC codes depending on the employer, most use 15-2051 or 15-1256. Pull your target SOC from O*NET before interviews so you can confirm your degree field aligns and anticipate any specialty occupation scrutiny.
Verify prevailing wage before negotiating
Use the OFLC Wage Search to look up the Level I through Level IV wage for your SOC code and work location before you accept an offer. Your employer's LCA must certify a wage at or above that threshold, and it affects what they can legally pay you.
Target employers already filing LCAs for ML roles
Search Migrate Mate to filter for employers with verified H-1B LCA filing history specifically for ML and data science roles. That filing record tells you the employer knows the process and has done it for your job type before.
Ask whether the employer is cap-exempt
Universities, nonprofit research institutions, and certain government-affiliated entities are cap-exempt, meaning your H-1B can start any time of year without waiting for the October 1 cap date. If you're open to those employers, your timeline compresses significantly.
Request premium processing if your start date is tight
USCIS offers premium processing on I-129 petitions, which guarantees a 15-business-day adjudication window. If you're transferring from OPT or a prior H-1B and your authorization gap is narrow, confirm early whether your employer will pay for it.
Document project scope and model ownership clearly
USCIS RFEs for ML Engineer petitions frequently challenge whether the role truly requires a specialized degree rather than general coding skills. Collect evidence showing you own model architecture decisions, not just implementation tasks, to support the specialty occupation case.
ML Engineer jobs are hiring across the US. Find yours.
Find ML Engineer JobsML Engineer H-1B Visa: Frequently Asked Questions
Does an ML Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, mathematics, or statistics. Roles focused on model research, algorithm design, or applied machine learning typically satisfy the specialty occupation standard. Roles that only require general programming skills with no field-specific degree requirement can face RFEs, so the job description needs to be precise about degree requirements.
Which SOC code do employers typically use when filing H-1B petitions for ML Engineers?
Most employers file under 15-2051 (Data Scientists) or 15-1256 (Software Developers and Software Quality Assurance Analysts). The choice affects the prevailing wage level your employer must certify on the LCA. You can look up both codes on O*NET to see which job zone and education requirements best match your role's actual duties before your employer submits the LCA to DOL.
How do I find employers who have actually sponsored H-1B visas for ML Engineer roles before?
Migrate Mate surfaces employers with verified DOL Labor Condition Application filing history filtered by occupation code, so you can see which companies have filed LCAs for ML and data science roles specifically. Checking LCA history is more reliable than asking recruiters, because it shows actual filings rather than stated willingness to sponsor.
Can I switch ML Engineer jobs while on H-1B status without losing my place in line?
Yes. Under AC21 portability, if your I-140 has been approved for at least 180 days and your new role is in the same or a substantially similar occupational classification, you can port your priority date to the new employer's petition. Your new employer still needs to file a new H-1B transfer petition before your current authorization ends, and you can start the new job once that petition is received by USCIS.
What documentation should I prepare before an employer files my H-1B petition as an ML Engineer?
You'll need your academic transcripts and degree certificates, any credential evaluations if your degree is from outside the U.S., a current resume detailing your project responsibilities, and any publications or patents that support your specialty. Your employer's attorney will also need your passport, current I-94 record, and prior immigration documents. Having these organized before the attorney engagement starts reduces delays significantly.
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