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About the 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 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 AI dependable and fast at scale–from building retrieval systems to more effectively ground LLM responses in Whatnot’s business context to developing scalable LLM evaluation frameworks and human-in-the-loop feedback mechanisms.

Responsibilities

Own the infrastructure powering LLMs across critical business surfaces– supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.
Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration, and prevent regression via CI/CD.
Deploy RAG systems and MCP servers to more effectively ground LLM responses in Whatnot’s business context while enforcing rigorous PII controls.
Design efficient human-in-the-loop feedback pipelines that can be used to inform scalable LLM evaluation.
Bridge the gap between research and production, helping to transform experimental ideas into scalable solutions.
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem.

Requirements

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

Skills

AI
ML
Large language model applications
Machine learning
Python
PostgreSQL
DynamoDB
Elasticsearch
Redis
DataDog
Grafana
AWS Sagemaker
AWS Lambda
AWS Kinesis
AWS S3
AWS EC2
AWS EKS/ECS
Apache Kafka
Apache Flink

Location

Remote
New York
Seattle
Los Angeles
San Francisco

Work Type

Remote
Co-located

Experience Level

4+ years of professional experience developing machine learning systems and algorithms
3+ years of software engineering experience
1+ years of professional experience developing software in Python

Education Level

Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience.

Salary/Compensations

$245,000 - $345,000/year

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
16 weeks of paid parental leave + one month gradual return to work

About the Company

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love.
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.

Equal Opportunity

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.