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Software Engineer, Core Machine Learning

Whatnot
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Hybrid (San Francisco, CA / Seattle, WA / Remote (US))$245k - $345kFull-timePosted 4d ago

About the role

Role at Whatnot building core machine learning systems and infrastructure, including traditional ML models and LLM-powered workflows, with a 0-to-1, startup-driven environment and remote-friendly collaboration across hubs.

Responsibilities

  • Develop and deploy new both production machine learning algorithms and core infrastructure to enrich the buyer and seller experience.
  • Contribute to and set direction across the entire machine learning development process: opportunity sizing, feature engineering, model training, evaluation, load testing, deployment, and alerting.
  • Design and implement supporting software infrastructure to unblock your work: streaming pipelines, async worker queues, event enrichment infrastructure, continuous training loops, model monitoring systems, LLM tool access controls, and dynamic agent evaluation framework to give just a few examples
  • Define project roadmaps that deliver value quickly while building towards scalable, extensible long-term systems
  • Bridge research and production: take an experimental idea and harden it into a scalable, well-tested, monitored system.
  • Communicate tradeoffs and findings clearly to product and leadership.

Qualifications

  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related technical field, or equivalent work experience.
  • 2+ years of software engineering experience building and maintaining production systems at consumer scale.
  • 2+ years of hands-on experience training and deploying traditional ML models in production (e.g. classification, ranking, or regression models using PyTorch, LightGBM, or scikit-learn).
  • 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 Kubernetes, 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.

Skills

Required:Production machine learningSoftware engineering (consumer-scale)DatabasesCloud / InfrastructureCommunication

Benefits

  • Generous Holiday and Time off Policy
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
  • Care benefits
  • 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Whatnot

Whatnot is the largest livestream shopping platform in the U.S.

Whatnot is the largest livestream shopping platform in the U.S., connecting buyers and sellers in real-time across any category – from collectibles like trading cards to comics, fashion, sneakers, and more.

marketplacee-commerce
Company profileWebsite

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