Feature Platform Engineer at Whatnot

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

285000.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Software Engineering, Real-Time Decisioning, Feature Ingestion, Data Visualization, Cloud Computing, APIs, Database Management, Resource Optimization, Documentation, Communication, Remote Collaboration, Feature Pipelines, Caching Strategies, Monitoring Tools

Industry

technology;Information and Internet

Description

🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. 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. 💻 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: Own the feature ingestion and storage infrastructure powering both core business logic and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. Push the boundaries of real-time decisioning, ensuring Whatnot’s ML models respond ever faster to constantly changing marketplace dynamics. Design and evolve real-time feature pipelines that feed both our online and offline stores, ensuring sub-second latency, high reliability, and model training fidelity. Optimize system performance by managing resource utilization and developing intelligent feature caching strategies. Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features. 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, 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: 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 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. 💰Compensation For US-based applicants: $205,000 - $285,000/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. 🎁 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. 💛 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.

Responsibilities

You will design and scale the feature ingestion and storage infrastructure that powers critical business logic and machine learning applications. This includes optimizing system performance and empowering scientists to iterate faster by building abstractions and developer tools.