This role is ideal for a mid-to-senior level engineer (4+ years experience) who bridges the gap between Core Infrastructure and Machine Learning. You should hav
Work type: onsite
Location: San Francisco, CA
Salary: $245,000 – $345,000/yr
Type: Full-time
This role is ideal for a mid-to-senior level engineer (4+ years experience) who bridges the gap between Core Infrastructure and Machine Learning. You should have a strong background in productionizing ML models at scale, with specific expertise in Python and distributed systems. The team is looking for a "builder" who can handle the complexities of low-latency GPU inference and high-throughput data pipelines within a fast-paced marketplace environment. The compensation is highly competitive, starting at $245k base plus equity and a comprehensive benefits package (including a 4% 401k match and family planning benefits). While the company is "remote co-located," this specific role requires being within commuting distance of their Bay Area, Seattle, NYC, or LA hubs for in-person collaboration. **You might be a good fit if you...** * Have experience scaling LLMs and managing GPU-accelerated infrastructure. * Are proficient with the AWS ecosystem (Sagemaker, EKS) and data tools like Kafka or Flink. * Enjoy "dogfooding" the product you build and thrive in a high-growth startup culture. * Can work autonomously to bridge the gap between ML research and reliable production deployment.
## 🚀 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](https://www.whatnot.com/careers) 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](https://a16z.com/marketplace-100/) and were recently named the [#1 Best Startup Employer in America](http://google.com/search?q=%231+forbes+startup+employer&oq=%231+forbes+startup+employer&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIGCAEQRRg9MgYIAhBFGD0yBggDEEUYQDIGCAQQRRhAMgYIBRBFGEDSAQg1NzM0ajBqMagCALACAA&sourceid=chrome&ie=UTF-8) by Forbes. Check out the latest Whatnot updates on our [news](https://blog.teamwhatnot.com/) and [engineering blogs](https://medium.com/whatnot-engineering) and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
## 💻 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 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. This means building systems that make advanced ML dependable and fast at scale–from low-latency, large model serving to distributed training & high-throughput GPU inference.
## What you'll do:
## 👋 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.
As our next AI/ML Platform Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus:
For US-based applicants:$245,000 - $345,000/year + benefits + stock options
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.
## 🎁 Benefits
## 💛 EOE
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.