Fast-growing AI data startup is looking to drive the development of advanced models to extract insights from complex data streams
Requirements
- Proven experience building and deploying machine learning models in a production startup environment
- Deep expertise in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX
- Strong background in software engineering best practices, including version control and CI/CD for ML
Responsibilities
- Design, train, and deploy sophisticated ML models to solve complex pattern recognition challenges
- Architect and maintain robust, scalable data pipelines to support large-scale model inference
- Collaborate with cross-functional teams to integrate ML capabilities into the core user experience
Other
- Bachelor's degree in Computer Science or related field (not explicitly mentioned but implied)
- Ability to work in a collaborative environment
- Location: San Francisco, USA
- Influence the core product roadmap and technical architecture during a critical stage of scaling
