Principal/Staff Machine Learning Engineer

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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