Point72 Lp
Machine Learning Infrastructure Engineer, GenAI Technology
New York, NY
Sponsorship not specified$180k-$300kDetected 2 days ago
PythonC++Distributed SystemsAWSGCPAzureCloud PlatformsKubernetesTerraformCI/CDMachine LearningAirflowLLMsIncident ResponseAgileElectrical EngineeringCommunicationCollaboration
About the role
- 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.
- For more information, visit https://point72.com/.
Responsibilities
- Collaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency
- Develop 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 spend
- Drive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures
- Troubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability
- Document architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- 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.
Requirements
- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
- Proficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust
- When you work here, we provide:
Skills
- A Career with Point72's Technology Team
Compensation
- 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.
Benefits
- Fully-paid health care benefits
- Generous parental and family leave policies
- Tuition assistance
- 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.
- Design and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact
- Design and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows
- 3-7 years of experience building and maintaining scalable compute or machine learning infrastructure systems
- 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
- We invest in our people, their careers, their health, and their well-being.
- 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.
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