WhatNot is hiring a
Software Engineer

Summary

Join Whatnot's Core Machine Learning team as a Software Engineer, Machine Learning to drive the development of machine learning operations and design, develop, and deploy backend infrastructure and services. You will take a leading role in deploying ML models on business critical surfaces & flows, improve our infrastructure to enable new use cases, and define and advance our technical approach to scalable machine learning.

Requirements

• 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

Responsibilities

• 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

Benefits

• Flexible Time off Policy
• 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