We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior AI/ML Engineer at Crinetics Pharmaceuticals, Inc.. Location Information: USA. This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.. Role Description. Crinetics Pharmaceuticals is seeking a highly motivated and experienced Senior AI/ML Engineer to join our newly formed Enterprise Solutions & Innovation group. This is a unique opportunity to be a foundational member of a team that will drive the adoption of artificial intelligence and machine learning across the organization. The successful candidate will be a key contributor in shaping our AI/ML strategy, evaluating and implementing solutions, and demonstrating the value of data-driven decision-making. 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, including research, clinical development, manufacturing, and commercial operations. . 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, ensuring they meet our scientific and business requirements. . Cross-Functional Collaboration: . Partner with stakeholders from R&D, Clinical Operations, Regulatory Affairs, and other 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 required for AI/ML initiatives. . 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 that can be applied to our business challenges. . Qualifications. Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Computational Biology, or a related discipline. . 8-10 years with 3-5 years of hands-on experience in data science and machine learning, with a proven track record of developing and deploying AI/ML models in a corporate environment. . Requirements. Expert proficiency in programming languages such as Python or R. . Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). . 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, including version control (Git), testing, and CI/CD. . Excellent problem-solving and analytical skills. . Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences. . Demonstrated ability to work independently and as part of a collaborative team. . A strategic mindset and the ability to think creatively and drive innovation. . Benefits. Salary range: $126,000 - $158,000. . Discretionary annual target bonus, stock options, ESPP, and 401k match. . Top-notch health insurance plans for employees (and their families) to include medical, dental, vision, and basic life insurance. . 20 days of PTO, 10 paid holidays, and a winter company shutdown.