🚀 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 be foundational members of our Discovery Feed & Browse 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.

We are looking for a backend engineer with a track record of shipping product features at scale. You should excel at making the right tradeoffs between building it fast and building it right. We’ll often prototype new ideas quickly, and then need to build them for extreme scale while coordinating closely with other teams - the ideal person for this role is an expert at both of these approaches.

What you'll do:

Ship recommendation algorithms and product features to deliver high-quality Discovery experiences for users
Build and maintain a scalable, stable, low latency feed and browse experience
Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds
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 feed, search, machine learning service, and Discovery application layers.
Define and advance our technical approach to scalable recommendation systems.

👋 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:

Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams.
Experience in machine learning fields (e.g. Recommendations, Content Understanding and Search).
Expert at designing and building scalable and maintainable backend systems.
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.

💰Compensation

$175,000 - $265,000/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.