Software Engineer



501-1,000 employees

Community marketplace platform

Consumer Goods

$205,000 - $275,000

Stock Options


Seattle, WA, USA + 5 more

Required Skills
Apache Flink
Apache Spark
Apache Kafka
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
  • 2+ years of professional experience setting up machine learning platforms–model serving, features stores, model registries, training pipelines, etc.
  • 1+ years of professional experience developing software in Python
  • Software engineering experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
  • 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, Spark.
  • Professionalism around collaborating in a remote working environment and well tested, reproducible work.
  • Experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis preferred.
  • Drive the development of the machine learning platform roadmap, staying abreast of emerging business needs that the machine learning platform can help address.
  • Enhance our machine learning infrastructure--increase reliability, reduce latency, and continually improve the developer experience.
  • Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
  • Improve model training, management, and monitoring
  • Take a leading role in deploying ML models on business critical surfaces & flows.
  • Define and advance our technical approach to scalable machine learning.
  • Flex outside your comfort zone to help take on new challenges that emerge

WhatNot’s mission is to enable anyone to turn their passion into a business & bring people together through commerce. The company has the fastest growing marketplace with their unique shopping experience for niche and passionate users.

Company Stage

Series D

Total Funding



Marina del Rey, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Competitive base salary and stock options

Unlimited Vacation Policy and No Meeting Holidays

Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability

Work From Home Support

Up to $500 monthly to spend within Whatnot App

Care benefits