Machine Learning Platform Engineer
Hybrid (US (Remote))$245k - $345kFull-timePosted 4w ago
About the role
Role focusing on designing, scaling, and operating the core infrastructure for machine learning and self-hosted large language model applications across Whatnot, enabling production-grade ML systems and fast, low-latency model serving at scale.
Responsibilities
- Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.
- Prototype, deploy, and productionalize novel ML architectures that directly shape user experience and marketplace dynamics.
- Design and scale inference infrastructure capable of serving large models with low latency and high throughput.
- Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism.
- Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem.
Qualifications
- 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.
Skills
Required:Machine learning infrastructurePythonDistributed training and inference pipelinesDatabases (PostgreSQL, DynamoDB, Elasticsearch, Redis)Cloud platforms (AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS)Monitoring/observability (DataDog, Grafana)
Benefits
- 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
- 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.

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
More open roles at Whatnot
- Software Engineer, Core Machine Learning4d agoHybrid (San Francisco, CA / Seattle, WA / Remote (US))
- Category Manager, Australia - Sports4d agoHybrid (Sydney, Australia / Melbourne, Australia) · Operations
- Data Scientist, Seller Merchant4d agoHybrid (Remote / New York, NY / San Francisco, CA) · Seller Merchant
- 4d ago
- Staff Software Engineer, Ads ML4d agoHybrid (New York, NY) · Engineering
