AI ML Engineer Jobs at Whatnot with Visa Sponsorship
AI ML Engineer jobs at Whatnot sit at the core of the company's live commerce technology at scale, powering recommendations, fraud detection, and real-time personalization. The company has a consistent track record of sponsoring work visas for technical talent across multiple visa categories.
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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 Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding AI ML Engineer Jobs at Whatnot
Frame your ML work around commerce outcomes
Whatnot's ML problems are rooted in live shopping: ranking, recommendations, and trust and safety. Tailor your resume and portfolio to show models you've built that directly influenced user behavior or business metrics, not just research output.
Clarify your visa category before applying
Whatnot sponsors several visa types, and each has different filing windows and employer obligations. Know whether you need H-1B cap sponsorship, an OPT extension, or a TN before you reach the offer stage so you're not caught off guard.
Target roles with production ML scope
Whatnot's AI ML Engineer openings tend to require end-to-end ownership, from data pipelines to deployed models. Roles with that scope signal stronger sponsorship intent than exploratory research positions, which typically carry less organizational urgency to fill quickly.
Align your interview timing with H-1B cap deadlines
If you're cap-subject, USCIS's H-1B registration window opens each March. Start your Whatnot job search in January or February so an offer and petition filing can align with that window rather than forcing a one-year wait.
Confirm LCA wage levels match your negotiation floor
Before accepting an offer, review DOL prevailing wage data for your role and location. Whatnot must certify a Labor Condition Application at or above the prevailing wage, so knowing that floor helps you negotiate from an informed position.
Use Migrate Mate to filter AI ML roles by visa type
Not every open role at Whatnot will specify sponsorship eligibility upfront. Use Migrate Mate to browse current AI ML Engineer listings filtered by the visa categories Whatnot supports, so you're applying to roles where your status is already a fit.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for AI ML Engineers?
Yes, Whatnot sponsors H-1B visas for AI ML Engineers. The company has an established pattern of filing petitions for technical roles in this function. If you're cap-subject, timing matters: USCIS opens H-1B registration each March, so securing an offer in the first quarter gives you the best chance of aligning with that window.
How do I apply for AI ML Engineer jobs at Whatnot?
You can find and apply for AI ML Engineer openings at Whatnot through Migrate Mate, which filters listings by visa sponsorship eligibility so you can confirm your status is supported before applying. Whatnot's hiring process for ML roles typically includes a technical screen, a system design round focused on ML infrastructure, and interviews assessing product and business impact of past work.
Which visa types does Whatnot commonly sponsor for AI ML Engineers?
Whatnot sponsors a range of visa categories for AI ML Engineer roles, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, current status, and career stage.
What qualifications does Whatnot expect from AI ML Engineer candidates?
Whatnot's AI ML Engineer roles typically require strong engineering fundamentals alongside applied ML experience. Expect emphasis on building and deploying production models, not just research. Experience with recommendation systems, ranking, fraud detection, or real-time inference is particularly relevant given Whatnot's live commerce platform. A graduate degree in a quantitative field strengthens an H-1B specialty occupation claim.
How do I manage visa timing during the Whatnot hiring process?
If you're on F-1 OPT, confirm your remaining authorized work period before your start date and discuss STEM OPT extension eligibility with your employer of record early. For H-1B transfers from another employer, USCIS portability rules allow you to start at Whatnot once the petition is filed, without waiting for approval, provided you've held H-1B status for at least 180 days.