Senior ML Engineer - Gene Regulatory Foundations

Tahoe Therapeutics; South San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Unlimited Paid Time Off (PTO)

Monthly Lunch budget

One-time Office set up budget

Medical and dental plans

Job summary

Tahoe Therapeutics is seeking a Senior Machine Learning Engineer in South San Francisco. This role involves designing cutting-edge foundation models for drug discovery using large-scale single-cell datasets. Ideal candidates will have a solid background in engineering and machine learning, and be able to work collaboratively in optimizing models.

Key responsibilities include adopting advanced techniques in ML and working with scientists to develop compute-optimized models. The position offers unlimited PTO and a comprehensive benefits package, including medical coverage for employees and their dependents.

Qualifications

• Solid Engineering and Computer Science fundamentals.
• Exceptional skills to iterate quickly on data processing.
• Experience in modern neural network architectures.

Responsibilities

• Adopt state-of-the-art techniques for training AI models.
• Collaborate with ML Scientists to develop optimized models.

Skills

Engineering fundamentals

Machine learning techniques

Neural network architectures

Distributed training

Education

Degree in Computer Science or Mathematics

Tools

PyTorch

TensorFlow

Keras

JAX

Job description

Tahoe Therapeutics is seeking a Senior Machine Learning Engineer in South San Francisco. This role involves designing cutting-edge foundation models for drug discovery using large-scale single-cell datasets. Ideal candidates will have a solid background in engineering and machine learning, and be able to work collaboratively in optimizing models.

Key responsibilities include adopting advanced techniques in ML and working with scientists to develop compute-optimized models. The position offers unlimited PTO and a comprehensive benefits package, including medical coverage for employees and their dependents.