Software Engineer, Core Machine Learning

🚀 Whatnot

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote co-located team, we operate out of hubs within the US, UK, Ireland, Poland, and Germany today.

We’re innovating in the fast-paced world of live auctions from fashion, beauty, electronics to collectibles like trading cards, comic books, and even live plants. Whatnot has something for everyone.

And, we’re growing. Whatnot has been one of the fastest growing marketplaces and we’re hiring forward-thinking problem solvers across all functional areas.

💻 Role

We are looking for intellectually curious, highly motivated individuals to become foundational members of our Core Machine Learning team. You will help drive the development of Whatnot’s machine learning operations and work with machine learning engineers across the company to design, develop, and deploy backend infrastructure and services to unlock new use cases and integrate machine learning into new product surfaces. The ideal candidate is willing and able to flex into an applied research role to develop models that leverage the components they have built.

What you'll do:

• Take a leading role in deploying ML models on business critical surfaces & flows.
• Improve our infrastructure to enable new use cases, i.e. spinning up an ANN-based retrieval stack to unlock RAG or make home feed ranking more scalable.
• Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
• Define and advance our technical approach to scalable machine learning.
• Flex outside your comfort zone to help take on new challenges as they emerge. 

👋 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 4+ years of experience, 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

$205,000 - $315,000/year + benefits + equity

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 on both food and 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
• 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.