Point72 Asset Management is seeking a Machine Learning Infrastructure Engineer to enhance their technology team's capabilities in supporting generative AI and machine learning workloads. The role focuses on designing and implementing scalable infrastructure while collaborating closely with ML researchers and engineers
Job Summary
The role involves designing high-performance infrastructure to support large-scale generative AI and machine learning workloads for faster model iteration.
Point72 offers fully-paid health care benefits, generous parental leave, and tuition assistance to support employee well-being and career growth.
Candidates will collaborate with ML researchers to optimize compute utilization, training throughput, and inference latency across cloud and on-prem environments.
Matching Summary
Match Score: 85
Point72 Asset Management is seeking a Machine Learning Infrastructure Engineer to enhance their technology team's capabilities in supporting generative AI and machine learning workloads. The role focuses on designing and implementing scalable infrastructure while collaborating closely with ML researchers and engineers.
Salary
Base: $180,000-$300,000 USD; Bonus: Discretionary bonus compensation included; Benefits: Comprehensive package with health care and 401(k) match
Skills & Requirements
Must-have
Distributed systems design
Kubernetes container orchestration
Python and Go/C++/Rust programming
GPU compute optimization
ML infrastructure tools like MLflow Ray
Cloud platforms AWS GCP Azure
Nice-to-have
Reinforcement learning concepts
Infrastructure-as-code Terraform
Security and compliance expertise
Mentoring engineering teams
Cost management strategies
Key Requirements
Bachelor's or master's degree in CS or EE
3-7 years experience in scalable ML infrastructure