Full-Time Senior AI/ML Engineer

Crinetics Pharmaceuticals is seeking a highly motivated and experienced Senior AI/ML Engineer to join our newly formed Enterprise Solutions & Innovation group.

This role requires a blend of deep technical expertise, strategic thinking, and the ability to collaborate effectively with cross-functional teams.

Strategic Development:

• Collaborate with the Executive Director of Enterprise Solutions & Innovation to define and execute the company's AI/ML roadmap.
• Identify and prioritize high-impact use cases across various business functions.

Solution Evaluation and Implementation:

• Lead the technical evaluation of both internal and external AI/ML solutions.
• Design, build, and deploy scalable and robust machine learning models on our Azure/Databricks platform.
• Assess and integrate vendor-provided AI/ML technologies.

Cross-Functional Collaboration:

• Partner with stakeholders from various departments to understand their needs and translate them into data science questions and solutions.
• Serve as a subject matter expert on AI/ML, providing guidance and training to colleagues.

Data and Infrastructure:

• Work closely with IT and data engineering teams to ensure the availability and quality of data.
• Contribute to the development of our data infrastructure and best practices for data governance and management.

Innovation and Research:

• Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science.
• Champion a culture of innovation by exploring novel approaches and technologies.

Qualifications:

• Master's or Ph.D. in a quantitative field.
• 8-10 years with 3-5 years of hands-on experience in data science and machine learning.

Requirements:

• Expert proficiency in programming languages such as Python or R.
• Extensive experience with machine learning libraries and frameworks.
• Strong knowledge of SQL and experience working with relational and non-relational databases.
• Hands-on experience with cloud computing platforms, preferably Microsoft Azure and Databricks.
• Solid understanding of software engineering best practices.

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