Our client is a disruptive drug discovery company who are revolutionizing the Biotech industry. They have an opening for a Principal or Staff Level Machine Learning Engineer to join the team in San Francisco. The successful candidate will be responsible for implementing and scaling state-of-the-art computer vision and multi-modal models.
Responsibilities
- As the Principal/Staff Machine Learning Engineer, you will implement and optimize complex computer vision and multi-modal model architecture.
- Work closely with the Engineering team and ML Scientists to turn ideas into robust, production-grade systems.
- Build robust training pipelines for large-scale vision and multi-modal models.
- Collaborate with top scientists, biostatisticians, and lab-automation experts to bring novel ML approaches to life.
- Create efficient models and data components to optimize research and production model performance.
Skillset
- Masters degree or PhD in Computer Science or equivalent.
- 5+ years of hands-on experience implementing complex ML Systems.
- Strong understanding of modern computer vision techniques.
- Extensive experience optimizing large-scale deep learning models.
- Expert knowledge of PyTorch internals and best practices.
- Strong background in computer vision fundamentals.
- Previous experience in the Biotech or Drug Discovery industry is a plus.
- Previous experience in a startup environment is a bonus.
Benefits
- Salary: $200k - $250k
- Equity
- Health, dental and vision insurance.
Please Note This is a Hybrid working role with 3 days onsite required in South San Francisco
Interested? Apply Today.
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