[Hiring] Senior AI/ML Engineer @Crinetics Pharmaceuticals, Inc.

Crinetics Pharmaceuticals, Inc.; Deutschland; Remote; EUR 106.000 - 134.000; Vollzeit

Zusammenfassung

A biotechnology company is seeking a Senior AI/ML Engineer to drive adoption of AI and machine learning. This remote role requires deep technical expertise, strategic thinking, and experience in deploying AI/ML models. The ideal candidate has a Master's or Ph.D. in a quantitative field, 8-10 years of experience, and proficiency in programming languages like Python or R. Attractive benefits include a salary range of $126,000 - $158,000, stock options, and comprehensive health insurance.

Leistungen

Discretionary annual target bonus

Stock options

Top-notch health insurance plans

20 days of PTO and 10 paid holidays

Qualifikationen

• 8-10 years with 3-5 years of hands-on experience in data science and machine learning.
• Proven track record of developing and deploying AI/ML models in a corporate environment.

Aufgaben

• Define and execute the company's AI/ML roadmap.
• Design, build, and deploy scalable machine learning models.
• Partner with stakeholders to translate needs into data science solutions.

Kenntnisse

Expert proficiency in programming languages such as Python or R

Extensive experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch)

Strong knowledge of SQL

Hands-on experience with cloud computing platforms

Excellent problem-solving and analytical skills

Strong communication and interpersonal skills

Ausbildung

Master's or Ph.D. in a quantitative field

Tools

Azure

Databricks

Jobbeschreibung

Sep 21, 2025 - Crinetics Pharmaceuticals, Inc. is hiring a remote Senior AI/ML Engineer. Salary: $126,000 - $158,000. Location: USA.

Overview

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.

Responsibilities

• 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.