FewerJobs.
All jobs

Machine Learning Infrastructure Engineer, GenAI Technology

Point72 Asset Management - United States

Posted Apr 20, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Offered From the posting source checked Jun 20, 2026
Verification
Not verified
Salary
$180K-$300K From the posting source checked Jun 20, 2026
401(k) match
Reported not verified - source not recorded; source URL not recorded; timestamp not recorded

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

106% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Infrastructure Engineer, GenAI Technology United States A Career with Point72's Technology Team As 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 DO - 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 - 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

Read the full description at boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.

Apply at boards.greenhouse.io

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has field-level provenance to a source FewerJobs pulled: a government or employer source, or the original job posting. Posting-sourced facts are employer-stated and are labeled separately from government records.

Related jobs