Feature Platform Engineer at whatnot

This role is ideal for a mid-to-senior level software engineer (4+ years) who specializes in the "plumbing" of AI/ML. You aren't just building models; you are d

Work type: onsite

Location: San Francisco, CA

Salary: $245,000 – $345,000/yr

Type: Full-time

Summary

This role is ideal for a mid-to-senior level software engineer (4+ years) who specializes in the "plumbing" of AI/ML. You aren't just building models; you are designing the high-scale data pipelines and feature stores that make real-time ML possible. You should have a strong background in Python and experience managing production systems that handle massive consumer traffic using tools like Kafka, Flink, and AWS. The compensation package is highly competitive, starting at $245k with significant stock options. While the company operates with a remote-first mindset, this specific role requires you to live within commuting distance of their Bay Area, Seattle, LA, or NYC hubs for occasional in-person collaboration. Notable perks include a 4% 401k match, a generous "dogfooding" budget to buy items on the app, and comprehensive family planning benefits. **You might be a good fit if you...** * Have built and maintained low-latency feature ingestion systems using DynamoDB, Redis, or Kafka. * Enjoy working at the intersection of infrastructure and data science to deploy real-time marketplace signals. * Are comfortable operating autonomously in a fast-paced environment where you own the end-to-end reliability of your systems. * Have a "builder" mindset and prefer designing developer tools and APIs that help other teams scale.

Job Description

## 🚀 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 feature ingestion and storage infrastructure that powers critical business logic & machine learning applications across the company. You’ll work side by side with machine learning scientists to make the most of near-real-time signals and unlock entirely new product experiences.

## What you'll do:







US Based: 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.

## 👋 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 Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus:










##

## 💰Compensation

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















1212

## 💛 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.

View this job on nocollar jobs