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Lead Machine Learning Engineer Drug Discovery
Job Description & How to Apply Below
As a senior engineer, you will design a machine learning platform that addresses complex data modalities in drug discovery applications. Your strong foundation in ML, software engineering, and system design will help optimize outputs from the development through the deployment phase. Mentoring peers and promoting best practices will also be essential in this collaborative environment.
Key Responsibilities:
• Build and enhance a robust ML platform with versatile tooling
• Collaborate with teams to integrate and optimize models
• Drive continuous improvement in platform capabilities
• Lead the advocacy for best practices and technical standards
• Cultivate open communication among stakeholders
Requirements:
• Experience in designing scalable distributed systems
• Proficiency in the full lifecycle of ML and software
• Ability to mentor others and foster team growth
• Strong familiarity with CI/CD and documentation standards
• Comfort with tools like GCP, Docker, and Linux
Bring transformative machine learning solutions to the forefront of drug discovery!
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