Senior Software Engineer, Machine Learning

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Job Description


We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform 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.

What you'll do:

  • 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 machine learning service and application layers.
  • Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns.
  • Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience.
  • Define and advance our technical approach to scalable machine learning.


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 Senior Software Engineer, Machine Learning you should have 5+ years of experience, plus:

  • Proven history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical field.
  • Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
  • Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker.
  • Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
  • Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis
  • 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.
  • Professionalism around collaborating in a remote working environment and well tested, reproducible work.
  • Exceptional documentation and communication skills.


  • Competitive base salary and stock options
  • Unlimited Vacation Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability
    • Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
    • Dental and Vision sponsored 100% by Whatnot for employees and dependents
  • Work From Home Support
    • Laptop provided by Whatnot and home office setup allowance
    • $450 work-from-anywhere quarterly allowance for cell phone and internet
  • Care benefits
    • $1,350 quarterly allowance on food
    • $1,500 quarterly allowance for wellness
    • 16 weeks Paid Parental Leave and gradual return to work
    • $5,000 annual allowance towards Childcare
    • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
  • Professional Development
    • $2,000 annual benefit to invest in your professional development
  • 401k offering for Traditional and Roth accounts provided by Betterment
    • Employer matching contributions of 100% of up to 4% of contributions on base salary

Company Info.


Whatnot is a live stream platform and marketplace that enables collectors and enthusiasts to connect, buy, and sell verified products.

  • Industry
    Information Technology,Online marketplace
  • No. of Employees
  • Location
    Los Angeles, CA, USA
  • Website
  • Jobs Posted

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