This role is ideal for a mid-to-senior level software engineer (4+ years experience) who specializes in the infrastructure side of AI. You should have a strong
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 software engineer (4+ years experience) who specializes in the infrastructure side of AI. You should have a strong background in building production-scale systems, specifically focusing on low-latency model serving, GPU orchestration, and distributed training pipelines. It’s a "builder" role that sits at the intersection of DevOps, Backend Engineering, and Data Science. The compensation is highly competitive, starting at **$245,000+ plus equity**, placing it in the top tier for mid-level roles. While technically "remote co-located," you must live within commuting distance of a major hub (SF, SEA, LA, or NYC) to balance deep work with in-person collaboration. The benefits package is robust, featuring a 4% 401k match, family planning allowances, and a unique monthly budget to "dogfood" the live shopping app. **You might be a good fit if you...** * Have professional experience deploying and scaling LLMs or complex ML architectures in production. * Are proficient in Python and comfortable with cloud-native tools like AWS SageMaker, Kubernetes (EKS), and Kafka. * Enjoy "stretching" into new technical territory to solve high-throughput GPU inference challenges. * Thrive in high-growth startup environments where you own the full lifecycle of a platform.
## 🚀 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
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 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
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.