Machine Learning Infrastructure Engineer, GenAI Technology

Bachelor's or master's degree in computer science, electrical engineering, or a related technical field

3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems

Deep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure

Hands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform

Strong understanding of reinforcement learning concepts and their infrastructure implications

Proficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust

Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks

Experience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments

Excellent collaboration and communication skills with a systems-thinking mindset

Commitment to the highest ethical standards

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

Fully-paid health care benefits

Generous parental and family leave policies

Volunteer opportunities

Support for employee-led affinity groups representing women, people of color and the LGBT+ community

Mental and physical wellness programs

Tuition assistance

A 401(k) savings program with an employer match and more

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $180,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.