Job Description
Accelerate drug discovery as a Machine Learning Engineer, shaping platforms that utilize ML across diverse data and models. This role is based in Toronto or Salt Lake City.
In your position, you will design and build a robust ML platform integrating off-the-shelf and custom tools. Collaboration with ML teams will be key as you facilitate onboarding and support emerging research and use cases. You will optimize technical standards, advocate for best practices, and inspire constructive dialogue among stakeholders.
Key Responsibilities:
• Build ML platform for model lifecycle management
• Collaborate with ML teams to enhance platform capabilities
• Optimize the platform for emerging research needs
• Lead technical standard improvements and best practices
• Facilitate team discussions for unified outcomes
Requirements:
• Experience with large distributed systems design
• Proficiency in ML development lifecycle processes
• Familiarity with scalable, document...
In your position, you will design and build a robust ML platform integrating off-the-shelf and custom tools. Collaboration with ML teams will be key as you facilitate onboarding and support emerging research and use cases. You will optimize technical standards, advocate for best practices, and inspire constructive dialogue among stakeholders.
Key Responsibilities:
• Build ML platform for model lifecycle management
• Collaborate with ML teams to enhance platform capabilities
• Optimize the platform for emerging research needs
• Lead technical standard improvements and best practices
• Facilitate team discussions for unified outcomes
Requirements:
• Experience with large distributed systems design
• Proficiency in ML development lifecycle processes
• Familiarity with scalable, document...