Software Engineer, Machine Learning

🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, whether working remotely or from one of our offices. We are building a team that has experience from top tech, retail and payments platforms in the world.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

📈 Opportunity Size

Retail disruption is one of the largest opportunities in the startup space today. Livestream shopping is taking off around the world – a $300B GMV market in China that’s grown 100% YoY. Whatnot is bringing it to the world through a community-first approach, starting in the U.S. where retail is a $5T market opportunity!

💻 Role

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform team. You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals. The ideal candidate will support initiatives end to end with software, data & machine learning engineering.

What you'll do

• Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts.
• Contribute scalable solutions across various serving stacks at the machine learning service and application layers.
• Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns.
• Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience.
• Define and advance our technical approach to scalable machine learning.

• 👋 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 Software Engineer, Machine Learning you should have 5+ years of experience, plus:

• Proven history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical field.
• Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
• Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker.
• Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
• Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
• Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis
• 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, Kafka, Flink/Spark.
• Professionalism around collaborating in a remote working environment and well tested, reproducible work.
• Exceptional documentation and communication skills.

• 💰Compensation
• For US-based applicants: $153,000 - $235,000/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 pri