Role overview
We are looking for intellectually curious, highly motivated individuals to become foundational members of our Core Machine Learning team. You will help drive the development of Whatnotās machine learning operations and work with machine learning engineers across the company to build scalable design patterns that can be repeatedly used to achieve key business goals. Our ideal candidate has experience in spinning up ML platforms e.g. real-time model serving, approximate nearest neighbor retrieval, high-concurrency and low-latency scaling, feature stores, and model lifecycle monitoring. They are also willing and able to flex into an applied research role to develop models that leverage their own components.
What you'll work on
- 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
Tags & focus areas
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