Machine Learning Eval Engineer
About the Role
We are seeking an exceptional Machine Learning Eval Engineer to push the boundaries of intelligent systems. In this role, you will leverage your expertise with Python, TypeScript, AWS to build robust models and scalable data pipelines.
Responsibilities
- Design, train, and deploy advanced systems tailored to Machine Learning Eval Engineer objectives.
- Collaborate with cross-functional engineering teams to integrate AI/Data capabilities into core products.
- Optimize pipelines and architectures utilizing Python, TypeScript, AWS for high performance and low latency.
- Conduct cutting-edge analysis to evaluate new architectural approaches and algorithms.
Requirements
- 2 - 5 years of applied professional experience in complex engineering environments.
- Strong hands-on proficiency working with Python, TypeScript, AWS.
- Deep understanding of distributed computing, data structures, and statistical modeling.
- Proven ability to translate highly technical findings into actionable business strategy.
About the Company
- Mission/Product: Building the ingestion layer to connect human data with machines
- Engineering Team Size: 75 members
- Company Funding: $108M
- Established: 2023
- Visa Sponsorship: Available
How to Apply
Send your resume to [email protected] with the subject line "Machine Learning Eval Engineer – San Francisco".
Apply Now