Vice President, Machine Learning Engineering

$220,000 - $280,000/Yr

Clarivate - Sacramento, CA

Full-time - Senior

Sacramento, CA

Professional, Scientific, and Technical Services

About the position

The Vice President of Machine Learning Engineering will lead the AI Product Transformation team at Clarivate, focusing on identifying and implementing high-impact AI opportunities within the life sciences portfolio. This role combines technical leadership with strategic oversight, requiring collaboration with cross-functional teams to drive AI initiatives that align with business goals.

Responsibilities

• Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
• Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially Board of Directors.
• Formulate, communicate, and lead iteration of implementation approaches to achieve AI project goals.
• Hire, lead and manage a diverse, high-performing engineering team to execute against these goals.
• Work closely with individual product owners and biologists to understand workflows, constraints, business value and opportunities at a granular level.
• Spend extensive time analyzing data.
• Contribute meaningful amounts of code and/or documentation.
• Mentor and develop a team of more junior, high performance, impact-oriented engineers and data scientists.

Requirements

• Bachelor's degree in Computer Science or related field (or equivalent applicable experience).
• 8+ years of industry experience and 2+ years in engineering management.
• Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
• Experience collaborating with cross-functional teams and product owners to identify, design, and implement systems that achieve business-level strategic goals.
• Ability and willingness to build a granular, functional understanding of a wide range of life sciences processes, product needs, and the information/data that power these needs.
• Experience working with current commercial LLMs like GPT-4.

Nice-to-haves

• Past experience in delivering working ML/AI products.
• Master's or Ph.D. in Computer Science, Machine Learning, AI, or related field.
• Experience taking ownership and responsibility for critical problems end-to-end; from debugging a blocking Unicode encoding error to delivering project outcome slides.
• Excited to do hands-on technical work but equally excited to lead technical teams to peak performance.
• Experience designing software for the life science industry or for addressing problems in the life sciences.

Benefits

• Medical insurance
• Dental insurance
• Prescription drug coverage
• Life insurance
• 401k with match
• Long term disability coverage
• Vacation
• Sick time
• Volunteer time
• Discount programs