ML Engineer Jobs at Whatnot with Visa Sponsorship
Whatnot builds its recommendation and trust systems on machine learning, and ML Engineers here work on real-time marketplace problems at the intersection of live commerce and retail. Whatnot has a consistent record of sponsoring international talent across multiple visa categories for technical roles like this one.
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Get Access To All JobsLocation
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
Employment Type
Full time
Department
Engineering
Compensation
$190K – $300K • Offers Equity
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
Join the Future of Commerce with Whatnot!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models into production and unlock entirely new product experiences. This means building systems that make advanced ML dependable and fast at scale–from low-latency, large model serving to distributed training & high-throughput GPU inference.
What you'll do:
- Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.
- Prototype, deploy, and productionalize novel ML architectures that directly shape user experience and marketplace dynamics.
- Design and scale inference infrastructure capable of serving large models with low latency and high throughput.
- Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism.
- Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem.
US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
You
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
As our next AI/ML Platform Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus:
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience.
- 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads.
- 1+ years of professional experience developing software in Python.
- Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams.
- Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
- Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana.
- Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink.
- Professionalism around collaborating in a remote working environment and well tested, reproducible work.
- Exceptional documentation and communication skills.
Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- Health Insurance options including Medical, Dental, Vision
- Work From Home Support
- Home office setup allowance
- Monthly allowance for cell phone and internet
- Care benefits
- Monthly allowance for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
- Monthly allowance to dogfood the app
- All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
- Parental Leave
- 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Location
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
Employment Type
Full time
Department
Engineering
Compensation
$190K – $300K • Offers Equity
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
Join the Future of Commerce with Whatnot!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models into production and unlock entirely new product experiences. This means building systems that make advanced ML dependable and fast at scale–from low-latency, large model serving to distributed training & high-throughput GPU inference.
What you'll do:
- Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.
- Prototype, deploy, and productionalize novel ML architectures that directly shape user experience and marketplace dynamics.
- Design and scale inference infrastructure capable of serving large models with low latency and high throughput.
- Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism.
- Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem.
US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
You
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
As our next AI/ML Platform Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus:
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience.
- 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads.
- 1+ years of professional experience developing software in Python.
- Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams.
- Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
- Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana.
- Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink.
- Professionalism around collaborating in a remote working environment and well tested, reproducible work.
- Exceptional documentation and communication skills.
Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- Health Insurance options including Medical, Dental, Vision
- Work From Home Support
- Home office setup allowance
- Monthly allowance for cell phone and internet
- Care benefits
- Monthly allowance for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
- Monthly allowance to dogfood the app
- All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
- Parental Leave
- 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
See all 32+ ML Engineer at Whatnot jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer at Whatnot roles.
Get Access To All JobsTips for Finding ML Engineer Jobs at Whatnot Jobs
Frame your ML work around commerce problems
Whatnot's ML teams focus on live auction dynamics, fraud detection, and personalized recommendations. Tailor your resume to show experience with ranking systems, real-time inference, or trust and safety models rather than generic ML project descriptions.
Time your OPT application to match Whatnot's hiring cycles
F-1 OPT authorization takes USCIS up to 90 days to process. File early enough that your Employment Authorization Document arrives before your target start date, so there's no gap between offer acceptance and day one.
Surface your sponsorship need early in the process
Disclose your visa requirement to the recruiter at the screening stage, not after a technical loop. Whatnot's recruiting team handles sponsorship regularly for ML roles, and early disclosure prevents timeline surprises when an offer is ready.
Use Migrate Mate to find open ML Engineer roles at Whatnot
Browsing general job boards makes it hard to filter for sponsors. Migrate Mate surfaces ML Engineer openings at Whatnot and other verified sponsors by visa type, so you can focus your applications where sponsorship is confirmed.
Understand what PERM means for your long-term path
If you're targeting a Green Card through Whatnot's EB-2 or EB-3 sponsorship, the PERM labor certification process requires DOL approval before USCIS filing. That sequence adds months to the timeline, so clarify employer intent before relying on it in your planning.
ML Engineer at Whatnot jobs are hiring across the US. Find yours.
Find ML Engineer at Whatnot JobsFrequently Asked Questions
Does Whatnot sponsor H-1B visas for ML Engineers?
Yes, Whatnot sponsors H-1B visas for ML Engineer roles. The company has an active track record of filing petitions for technical positions. If you're currently on OPT or another status, confirm the timeline with your recruiter early, since H-1B cap-subject petitions require filing in April for an October 1 start date.
Which visa types does Whatnot commonly sponsor for ML Engineer roles?
Whatnot sponsors a range of visa categories for ML Engineers, including H-1B, E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1, and immigrant pathways including EB-2 and EB-3. The right category depends on your nationality and career stage. Confirm which types Whatnot will support for your specific situation during the recruiting process.
What qualifications and experience does Whatnot expect for ML Engineer roles?
Whatnot's ML Engineer roles typically require strong fundamentals in machine learning alongside practical experience deploying models in production. Given the company's live commerce focus, experience with ranking systems, recommendation engines, real-time inference, or fraud and trust models is directly relevant. A graduate degree in computer science, statistics, or a related field strengthens applications, though demonstrated industry experience in similar systems carries significant weight.
How do I apply for ML Engineer jobs at Whatnot?
You can find and apply for ML Engineer roles at Whatnot through Migrate Mate, which lists open positions at verified visa sponsors filtered by role and visa type. When you apply, be ready to complete a technical screen focused on ML system design and coding, followed by a loop covering modeling, infrastructure, and domain knowledge relevant to Whatnot's marketplace. Disclose your visa status at the first recruiter touchpoint.
How long does the visa sponsorship process take for an ML Engineer starting at Whatnot?
Timeline depends on your visa category. H-1B cap-subject cases follow a fixed annual cycle with an October 1 start date. E-3 and TN petitions can move faster, often within weeks of an approved offer. F-1 OPT requires up to 90 days of USCIS processing. For Green Card sponsorship through PERM, DOL and USCIS processing together typically spans one to two years or more.
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