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Machine Learning Platform Engineer

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Whatnot
Remote/Work from Home position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 225000 - 320000 USD Yearly USD 225000.00 320000.00 YEAR
Job Description & How to Apply Below
Location: New York

AI / ML Platform Engineer – Whatnot

Apply for the AI / ML Platform Engineer role at Whatnot.

Base pay range

$/yr - $/yr

Company overview

Whatnot is the largest live shopping platform in North America and Europe. We’re re‑defining e‑commerce by blending community, shopping, and entertainment into a community just for you. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces together.

Role

We’re looking for builders—intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML ’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.

What You'll Do
  • Own the infrastructure powering AI and ML models across critical business surfaces—including 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. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.

You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

Qualifications
  • 4+ years of professional experience developing machine learning systems and algorithms.
  • 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 Postgre

    SQL, Dynamo

    DB, Elasticsearch, Redis.
  • Firm grasp of visualization tools for monitoring and logging (e.g., Data Dog, 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.
Compensation

For US-based applicants: $225,000–$320,000/year + benefits + stock options.

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).
Equal Opportunity Employer

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.

Seniority

level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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