Director, Machine Learning Engineering
Description For Director, Machine Learning Engineering
Genentech, a pioneering biotechnology company and member of the Roche group, is seeking a Director of Machine Learning Engineering to lead their Data, Analytics, and AI team. This role presents an exciting opportunity to drive innovation in healthcare through advanced machine learning applications. The position involves leading a team of ML engineers, developing strategic ML solutions, and overseeing the entire lifecycle of machine learning projects from conception to deployment.
The role combines technical leadership with strategic vision, requiring expertise in modern ML frameworks and technologies while managing cross-functional relationships with data scientists, operations teams, and business stakeholders. The successful candidate will be responsible for advancing the organization's ML capabilities while ensuring alignment with enterprise priorities and regulatory standards.
Located in South San Francisco, this position offers competitive compensation ranging from $236,460 to $439,000, plus discretionary bonuses. The role requires 8+ years of ML experience and deep expertise in AI technologies, making it ideal for experienced ML leaders who want to make a significant impact in healthcare technology.
Working at Genentech means joining a company dedicated to improving patient outcomes through innovative technology. The organization fosters a culture of inclusivity, integrity, and creativity, providing opportunities to work on complex healthcare challenges while collaborating with industry-leading professionals in a supportive environment focused on professional growth and development.
Responsibilities For Director, Machine Learning Engineering
- Lead and mentor a team of machine learning engineers across geographies
- Own Machine Learning Engineering workstreams ensuring timely delivery
- Lead ML Engineering strategic design across products
- Innovate with different ML algorithms and architectures
- Set up best practices for production-ready ML code
- Oversee the entire lifecycle of ML models
- Work with Data Scientists to identify appropriate algorithms
- Collaborate with ML Operations and IX team
- Develop and maintain documentation for AI/ML capabilities
- Keep up to date with emerging AI/ML technologies
Requirements For Director, Machine Learning Engineering
- 8 years of experience in machine learning or related role
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
- Strong knowledge of AI/ML technologies such as deep learning, natural language processing
- Strong knowledge of programming languages such as Python, R, Julia, Java
- Experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, Keras, PySpark, H2O
- Strong leadership and team management abilities
- Excellent problem-solving and analytical skills
- Excellent communication and collaboration skills
Benefits For Director, Machine Learning Engineering
- Discretionary annual bonus
- Comprehensive benefits package
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