Responsibilities
- Develop and deploy machine learning algorithms and models, including deep learning architectures.
- Clean, analyze, and transform large-scale datasets for training and validating models.
- Partner with software engineering teams to embed machine learning models into live systems.
- Enhance and refine models to improve accuracy, speed, and scalability over time.
- Track performance of deployed models, diagnose problems, and maintain consistent reliability.
- Stay current with emerging research and innovations in machine learning and artificial intelligence.
- Collaborate with data scientists, engineers, and cross-functional teams to deliver robust ML-driven solutions.
Compensation
Market range with potential equity; specific details available after identifying the hiring client
Work Arrangement
On-site in San Francisco
Other
- Hybrid work options are available.
- Compensation includes market-rate pay and may include equity, with specifics shared once the hiring client is confirmed.