Lead initiatives in machine learning as a Senior MLOps Engineer with Recursion. Help shape a platform that advances drug discovery while collaborating with cutting-edge teams.
You will employ your extensive knowledge of ML infrastructure in designing and architecting a scalable platform that meets diverse research needs. This role emphasizes collaboration, as you will work alongside machine learning teams to facilitate their model deployments and enhance platform capabilities. Your leadership will also foster a culture of continuous learning while upholding technical excellence.
Key Responsibilities:
• Develop the centralized ML platform using various tools
• Work closely with ML teams to support model integration
• Optimize and enhance platform features continuously
• Promote technical standards and innovative practices
• Lead constructive conversations among team stakeholders
Requirements:
• Experience in large-scale distributed systems design
• Knowledge in all aspects of ML and software lifecycle
• Robust mentoring and coaching skills in cooperative settings
• Familiarity with tools like GCP, SLURM, and CUDA
• Proven ability to produce high-standard code through CI/CD
Elevate the impact of machine learning in drug discovery at Recursion through strategic platform initiatives.
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