ML Software Engineer Jobs at Whatnot with Visa Sponsorship
ML Software Engineer jobs at Whatnot involve building ML infrastructure to power real-time commerce experiences, working 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
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 ML Software Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding ML Software Engineer Jobs at Whatnot
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.
Target roles that match your visa timeline
Whatnot sponsors multiple visa types, so identify which category fits your current status before applying. If you're on F-1 OPT with limited runway, flag your timeline early so the team can assess H-1B or E-3 filing feasibility alongside your offer.
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.
Frequently 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 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa, 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.