Whatnot · 2 days ago
Senior Engineering Manager, ML Platform
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$255K/yr - $345K/yr
4+ years expWhatnot is the largest live shopping platform in North America and Europe, re-defining e-commerce by blending community, shopping, and entertainment. The role involves leading the development and scaling of core infrastructure for machine learning applications, collaborating with scientists to implement advanced models and enhance user experiences.
CollectiblesE-CommerceInformation TechnologyMarketplaceTrading Platform
Responsibilities
Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more
Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics
Help design and scale inference infrastructure capable of serving large models with low latency and high throughput
Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity
Drive feature platform improvements and expand scope to cover non-ML use cases such as fraud rules where point-in-time backtesting is also critical
Lead the development of distributed training and inference pipelines leveraging GPUs and both model and data parallelism
Optimize system performance by managing resource utilization and developing intelligent feature caching strategies
Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features and model iteration
Roll out ever-better ergonomics around model training and deployment
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem
Qualification
Required
4+ years of engineering management experience developing production machine learning systems at consumer-scale loads
Bachelor's degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
5+ years of hands-on 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
Experience working with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton
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
Benefits
Generous Holiday and Time off Policy
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 for 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.
Company
Whatnot
Whatnot is a livestream shopping platform for buying and selling products.
501-1000 employees
H1B Sponsorship
Whatnot has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (20)
2023 (18)
2022 (10)
Funding
Current Stage
Late StageTotal Funding
$974.7MKey Investors
CapitalGY Combinator Continuity FundAndreessen Horowitz
2025-10-28Series F· $225M
2025-01-08Series E· $265M
2022-07-21Series D· $260M
Leadership Team
Jeff Chang
Director of Engineering, Head of Growth
Recent News
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Company data provided by crunchbase