ML Software Engineer Jobs at Whatnot with Visa Sponsorship
Whatnot builds its ML infrastructure to power real-time commerce experiences, and ML Software Engineers here work on recommendation systems, fraud detection, and livestream optimization. Whatnot has a consistent track record of sponsoring work visas across multiple categories for this function.
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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 Software Engineer at Whatnot jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer at Whatnot roles.
Get Access To All JobsTips for Finding ML Software Engineer Jobs at Whatnot Jobs
Tailor your portfolio to live commerce ML
Whatnot's ML work centers on real-time ranking, personalization, and trust and safety. Projects demonstrating low-latency inference, recommendation systems, or anomaly detection in high-throughput environments will resonate far more than general deep learning work.
Use Migrate Mate to filter open ML roles
Whatnot posts ML Software Engineer roles across seniority levels at different times. Migrate Mate lets you filter specifically for Whatnot openings with visa sponsorship confirmed, so you're not manually tracking their careers page for new postings.
Prepare your specialty occupation documentation early
For H-1B petitions, USCIS requires evidence that the role qualifies as a specialty occupation. Gather your degree transcripts, any credential evaluations for non-U.S. degrees, and a detailed offer letter that specifies the ML-specific technical requirements of the position.
Understand how E-3 fits retail-sector ML roles
Australian citizens applying for E-3 sponsorship at Whatnot should confirm the job posting explicitly requires a relevant bachelor's degree or higher. Retail-sector ML roles can attract scrutiny on specialty occupation grounds if the degree-to-role connection isn't clearly documented.
Align your start date with USCIS processing windows
H-1B cap-subject petitions can only take effect on October 1. If you receive an offer mid-year, work with Whatnot's immigration team to determine whether premium processing or a cap-exempt filing path applies to your situation.
ML Software Engineer at Whatnot jobs are hiring across the US. Find yours.
Find ML Software Engineer at Whatnot JobsFrequently Asked Questions
Does Whatnot sponsor H-1B visas for ML Software Engineers?
Yes, Whatnot sponsors H-1B visas for ML Software Engineers. The company has an active sponsorship track record across this function, which aligns with their need to hire specialized ML talent in a competitive market. If you're cap-subject, your petition would need to clear the annual H-1B lottery before USCIS adjudicates it, with an earliest start date of October 1.
How do I apply for ML Software Engineer jobs at Whatnot?
You can apply directly through Whatnot's careers page or find their open ML Software Engineer roles filtered by visa sponsorship on Migrate Mate. The interview process typically involves a technical screen, ML system design, and coding rounds. Communicating your visa status early in the process helps the team plan sponsorship logistics alongside your candidacy.
Which visa types does Whatnot commonly sponsor for ML Software Engineers?
Whatnot sponsors a range of visa categories for this role, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1, and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, degree, and current immigration status.
What qualifications does Whatnot expect for ML Software Engineer roles?
Whatnot's ML roles typically require a bachelor's or master's degree in computer science, machine learning, statistics, or a closely related field. Practical experience with recommendation systems, real-time ML pipelines, or trust and safety modeling is particularly relevant given their livestream commerce platform. Strong Python skills and familiarity with large-scale data infrastructure are consistently expected across seniority levels.
How do I plan my timeline if Whatnot is sponsoring my H-1B?
H-1B registration opens each March for a lottery that determines who can file. If selected, your employer files the full petition between April and June, and employment can begin October 1 at the earliest. If you're on F-1 OPT when you receive your offer, confirm your OPT expiration date, as a cap-gap extension may bridge the gap while USCIS processes your petition.
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