Machine Learning Infrastructure Engineer, Technology

A Career with Point72’s Technology TeamAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.What you’ll doDesign and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impactDesign and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflowsCollaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latencyDevelop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)Implement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spendEvaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughputDrive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response proceduresTroubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliabilityDocument architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructureWhat’s RequiredBachelor's or master's degree in computer science, electrical engineering, or a related technical field3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systemsDeep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or AzureHands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and TerraformStrong understanding of reinforcement learning concepts and their infrastructure implicationsProficiency in Python and systems-level programming in one or more languages such as Go, C++, or RustStrong debugging, performance profiling, and optimization skills across GPU and CPU compute stacksExperience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environmentsExcellent collaboration and communication skills with a systems-thinking mindsetCommitment to the highest ethical standardsWe take care of our peopleWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:Fully-paid health care benefitsGenerous parental and family leave policiesMental and physical wellness programsVolunteer opportunitiesNon-profit matching gift programSupport for employee-led affinity groups representing women, minorities and the LGBT+ communityTuition assistanceA 401(k) savings program with an employer match and moreAbout Point72Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-hereThe annual base salary range for this role is $185,000-$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.