Job Description
Discovery Feed & Browse Team Software Engineer
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 design scalable feed and browse solutions based on a deep understanding of critical business goals.
About 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.
Your Role
Ship 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 utilize models to solve discovery problems
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.
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.
Benefits
For Full-Time (Salary) US-based applicants: $185,000 - $245,000/year + benefits + equity
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.
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 design scalable feed and browse solutions based on a deep understanding of critical business goals.
About 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.
Your Role
Ship 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 utilize models to solve discovery problems
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.
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.
Benefits
For Full-Time (Salary) US-based applicants: $185,000 - $245,000/year + benefits + equity
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.
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer, Discovery Feed position is now open for candidates interested in the Software Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
