AI ML Engineering Jobs at Whatnot with Visa Sponsorship
AI ML Engineering jobs at Whatnot require engineers who can work across recommendation systems, trust and safety models, and real-time bidding pipelines to build the company's infrastructure. The company has a consistent track record of sponsoring work visas for this function, supporting candidates from application through to long-term status.
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Get Access To All JobsLOCATION
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Remote
DEPARTMENT
Engineering
Data & Marketplace Integrity
COMPENSATION
$162K – $215K • 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
As Whatnot rapidly scales, data is central to shaping our product and operational strategy, helping us build delightful, high-performing experiences for both buyers and sellers. This is especially important when users reach out for support. We’re looking for a Data Scientist, Customer Experience who will partner closely with Product, Engineering, and Operations to embed the data narrative across Customer Experience products and operations, drive insights and experimentation, and ensure strong decision making across the company.
- In this role, you will:
Generate Insights & Shape Product Direction
- Define and own the KPIs that measure CX health, downstream impact, product experience, and user sentiment.
- Analyze user behavior and marketplace dynamics to identify opportunities and inform CX product and agent team priorities.
- Measure the tradeoffs between user experience and business value.
- Translate complex data into actionable recommendations for product and leadership teams.
Drive Experimentation & Measurement
- Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
- Develop frameworks for causal inference, impact measurement, and long-term ecosystem health.
- Build scalable methodologies to understand feature performance and guide iteration.
Build Data Products & Tools
- Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
- Partner with engineers and operations leadership to improve data accessibility, ensure data quality, and support instrumentation for new product features.
Lead Cross-Functional Collaboration
- Advocate for data-driven decision-making and foster a culture of measurement across the CX organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.
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 Data Scientist, Customer Experience, you bring:
EXPERIENCE & EXPERTISE
- 5+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
- Proven experience applying statistical and analytical methods to real-world product problems.
TECHNICAL SKILLS
- Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
- Proficiency with Python or R for data analysis, modeling, and experimentation.
- Experience designing and analyzing A/B tests and understanding causal inference techniques.
- Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
COLLABORATION & LEADERSHIP
- Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
- Experience leading cross-functional projects and influencing strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
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
- $1,000 home office setup allowance
- $150 monthly allowance for cell phone and internet
- Care benefits
- $500 monthly allowance for wellness
- $5,000 annual allowance towards Childcare
- $20,000 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
- 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.
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.
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
LOCATION TYPE
Remote
DEPARTMENT
Engineering
Data & Marketplace Integrity
COMPENSATION
$162K – $215K • 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
As Whatnot rapidly scales, data is central to shaping our product and operational strategy, helping us build delightful, high-performing experiences for both buyers and sellers. This is especially important when users reach out for support. We’re looking for a Data Scientist, Customer Experience who will partner closely with Product, Engineering, and Operations to embed the data narrative across Customer Experience products and operations, drive insights and experimentation, and ensure strong decision making across the company.
- In this role, you will:
Generate Insights & Shape Product Direction
- Define and own the KPIs that measure CX health, downstream impact, product experience, and user sentiment.
- Analyze user behavior and marketplace dynamics to identify opportunities and inform CX product and agent team priorities.
- Measure the tradeoffs between user experience and business value.
- Translate complex data into actionable recommendations for product and leadership teams.
Drive Experimentation & Measurement
- Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
- Develop frameworks for causal inference, impact measurement, and long-term ecosystem health.
- Build scalable methodologies to understand feature performance and guide iteration.
Build Data Products & Tools
- Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
- Partner with engineers and operations leadership to improve data accessibility, ensure data quality, and support instrumentation for new product features.
Lead Cross-Functional Collaboration
- Advocate for data-driven decision-making and foster a culture of measurement across the CX organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.
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 Data Scientist, Customer Experience, you bring:
EXPERIENCE & EXPERTISE
- 5+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
- Proven experience applying statistical and analytical methods to real-world product problems.
TECHNICAL SKILLS
- Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
- Proficiency with Python or R for data analysis, modeling, and experimentation.
- Experience designing and analyzing A/B tests and understanding causal inference techniques.
- Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
COLLABORATION & LEADERSHIP
- Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
- Experience leading cross-functional projects and influencing strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
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
- $1,000 home office setup allowance
- $150 monthly allowance for cell phone and internet
- Care benefits
- $500 monthly allowance for wellness
- $5,000 annual allowance towards Childcare
- $20,000 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
- 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.
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.
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 AI ML Engineering Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs at Whatnot.
Get Access To All JobsTips for Finding AI ML Engineering Jobs at Whatnot
Frame your ML work around commerce problems
Whatnot's AI team focuses on live commerce, so framing your experience around recommendation engines, fraud detection, or dynamic pricing signals directly to recruiters that you understand the product. Generic ML credentials get screened out faster.
Verify your OPT timeline before applying
If you're on F-1 OPT, confirm your STEM extension eligibility before your first interview. Whatnot's hiring cycles can run 8 to 12 weeks, and a tight OPT expiration date without a clear STEM extension path complicates the offer conversation.
Ask specifically about E-3 during offer discussions
Australian citizens targeting this role should raise the E-3 visa early in offer negotiations. Unlike H-1B, E-3 has no lottery and can be filed any time of year, which removes the cap timing pressure that often delays start dates.
Use Migrate Mate to identify active AI ML openings
Whatnot's AI ML Engineering roles aren't always listed under a single job title. Use Migrate Mate to filter for sponsorship-confirmed openings at Whatnot and surface roles across ML, data science, and applied research that match your background.
Prepare specialty occupation documentation early
For H-1B petitions, USCIS scrutinizes whether the role genuinely requires a specialized degree. Collect transcripts, degree equivalency letters if your credential is from outside the U.S., and any prior approval notices before your employer files the I-129.
Align your start date with H-1B cap timing
If your offer depends on winning the H-1B lottery, the October 1 cap-subject start date is fixed. Build that constraint into your offer negotiation early so Whatnot's legal team can plan the LCA filing and DOL certification timeline without last-minute pressure.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for AI ML Engineers?
Yes, Whatnot sponsors H-1B visas for AI ML Engineering roles. The company works with immigration counsel to file the Labor Condition Application with the DOL and the I-129 petition with USCIS. Cap-subject candidates should factor in the April lottery registration window and the October 1 start date when planning their timeline.
How do I apply for AI ML Engineering jobs at Whatnot?
Applications go through Whatnot's careers page, where roles are listed by team and function. AI ML Engineering positions often appear under titles like Machine Learning Engineer, Applied Scientist, or Recommendation Systems Engineer, so searching broadly across those categories helps. Migrate Mate also surfaces sponsorship-confirmed Whatnot openings, which can help you identify roles that are actively accepting international applicants.
Which visa types does Whatnot commonly use for AI ML Engineering roles?
Whatnot sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, and J-1 visas for this function, and supports EB-2 and EB-3 Green Card pathways for longer-term employees. The right visa depends on your nationality and current status. Australian citizens have access to the E-3 visa, which avoids the H-1B lottery entirely and can be processed at a U.S. consulate in a matter of weeks.
What qualifications does Whatnot expect for AI ML Engineering roles?
Most AI ML Engineering roles at Whatnot require a bachelor's degree or higher in computer science, statistics, or a closely related field, along with hands-on experience building production ML systems. Roles focused on live commerce infrastructure often prioritize work in recommendation systems, real-time model serving, or trust and safety. A graduate degree can strengthen a profile for senior or research-oriented positions, and it also supports a stronger specialty occupation argument in H-1B filings.
How do I plan my visa timeline when joining Whatnot as an AI ML Engineer?
Timeline depends on your visa type. E-3 and TN processing at a consulate can move in a few weeks. H-1B cap-subject filings require a registration in March, approval by late spring, and a start date no earlier than October 1. If you're transferring an existing H-1B, Whatnot can file a portability petition and you can start before approval. Confirm your current status and authorized period with your employer's immigration counsel before accepting an offer.