Point72 Logo

Point72

Machine Learning Infrastructure Engineer, GenAI Technology

Reposted 15 Days Ago
In-Office
2 Locations
185K-300K
Mid level
In-Office
2 Locations
185K-300K
Mid level
Design and optimize infrastructure for GenAI/ML workloads, develop scalable systems, collaborate with researchers, and ensure compliance and security.
The summary above was generated by AI

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

What you’ll do

  • Design, build, and optimize high-performance infrastructure to support large-scale GenAI/ML workloads.
  • Develop and maintain reliable, scalable distributed systems for model training, inference, and data processing.
  • Collaborate with ML researchers and engineers to productionize models efficiently, focusing on compute utilization, orchestration, and deployment pipelines.
  • Own infrastructure monitoring, observability, and cost optimization for GPU/accelerator-based compute environments.
  • Evaluate and integrate emerging technologies across cloud and on-prem platforms to improve system performance, reliability, and scalability.
  • Ensure robust security, compliance, and operational excellence in GenAI/ML infrastructure.

What’s REQUIRED

  • 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 ML infrastructure systems.
  • Deep understanding of distributed systems, container orchestration (Kubernetes), and cloud platforms (e.g., AWS, GCP, Azure).
  • Hands-on experience with MLOps and infrastructure tools (e.g., MLflow, Ray, Airflow, Kubeflow, Terraform).
  • Proficiency in Python and systems-level programming (e.g., Go, C++, or Rust).
  • Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks.
  • Excellent collaboration and communication skills, with a systems-thinking mindset.
  • Commitment to the highest ethical standards.

We take care of our people

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 LGBTQ+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • A 401(k) savings program with an employer match and more

About point72

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 www.Point72.com/about.

The 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.

Top Skills

Airflow
AWS
Azure
C++
GCP
Go
Kubeflow
Kubernetes
Mlflow
Python
Ray
Rust
Terraform

Similar Jobs

3 Hours Ago
In-Office
Stamford, CT, USA
Mid level
Mid level
Information Technology • Internet of Things • Mobile • On-Demand • Software
As a Senior Financial Analyst, you'll conduct financial analyses, develop reports, and support financial planning to enhance business performance.
Top Skills: Graphics PackagesRelational DatabasesSpreadsheetsStatistical Packages
Yesterday
In-Office
Greenwich, CT, USA
4K-6K
Internship
4K-6K
Internship
Information Technology • Software • Financial Services • Big Data Analytics
As a Quantitative Researcher Intern, you'll develop models, backtest strategies, and conduct statistical analysis for trading systems.
Top Skills: C++PythonR
Yesterday
Remote or Hybrid
66 Locations
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Data Scientist at PwC, you'll apply advanced analytics for data-driven decision-making, collaborating on AI solutions and managing data processes with clients.
Top Skills: AWSAzureGCPKerasLangchainNltkNoSQLPandasPythonScikit-LearnSemantic KernelSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account