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Machine Learning Program Manager Jobs (NOW HIRING)

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... program management, and workforce solutions. Since 2010, we have built high-performing teams and ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ... programs, the stories we tell, the customers we serve, and how you can help us advance our mission ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ... programs, the stories we tell, the customers we serve, and how you can help us advance our mission ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ... programs, the stories we tell, the customers we serve, and how you can help us advance our mission ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... During the program, you'll work on projects mentored closely by the full-time employees who ...

XPENG

Staff Technical Program Manager

Santa Clara, CA · On-site

$151K - $196K/yr

As a Staff Technical Program Manager focused on the Autonomous Driving Training Data Lake, you will ... You will work closely with data infrastructure, machine learning, simulation, vehicle engineering ...

XPENG

Staff Technical Program Manager

Santa Clara, CA · On-site

$151K - $196K/yr

As a Staff Technical Program Manager focused on the Autonomous Driving Training Data Lake, you will ... You will work closely with data infrastructure, machine learning, simulation, vehicle engineering ...

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Machine Learning Program Manager information

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$47K

$81.4K

$183.5K

How much do machine learning program manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning program manager in the United States is $81,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $89,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Machine Learning Program Manager jobs?

Cities with the most Machine Learning Program Manager job openings:

What states have the most Machine Learning Program Manager jobs?

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What are popular job titles related to Machine Learning Program Manager jobs?

For Machine Learning Program Manager jobs, the most frequently searched job titles are:

Principal Technical Program Manager, Relational Deep Learning Platform

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$151K - $196K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is redefining what is possible with AI, and we are building the next generation of relational deep learning for enterprise data. Our platform learns directly from the structure and relationships inside relational databases and heterogeneous graphs, unifying GPU-accelerated graph analytics and graph machine learning in a single stack. It powers high-impact workloads such as fraud detection and recommender systems and helps customers unlock more value from their data. We care deeply about turning frontier AI research into reliable products that teams can trust every day, and we are excited to add a Principal Technical Program Manager who will help us do exactly that!
What you will be doing:
As Principal Technical Program Manager, you will lead the relational deep learning program from research to production. You will connect ML researchers, infrastructure, and platform teams so work stays aligned and delivers real impact.
  • Deliver task-specific models for domains such as fraud detection and recommender systems, moving from problem definition and data requirements through training, benchmarking, and hand-off to product and customer teams.
  • Coordinate closely with infrastructure, systems, and platform groups to align compute capacity, training and serving environments, and platform features that models depend on.
  • Guide release management for both the platform and models, including experiment-to-production hand-offs, versioning, compatibility, model cards, benchmarks, and safety and compliance approvals.
  • Maintain the operating rhythm for the program, leading planning, reviews, risk and dependency tracking, and decision forums across research, engineering, data, product, legal, and other partners.
  • Define and track program health metrics such as model quality, training speed, evaluation coverage, and time-to-release, and share clear status, risks, and decisions in executive reviews.
  • We work as one team, we solve hard problems together, and we celebrate when complex programs ship and make a difference for customers.
  • We believe people who enjoy building, learning, and collaborating across teams will thrive in this role.

What we need to see:
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • 15+ years of experience in technical program management, engineering, or data/ML delivery, including significant time in ML/AI or large-scale data environments.
  • Experience leading complex, multi-stakeholder programs end to end in research and engineering organizations, with evolving requirements and clear delivery timelines.
  • Comfort working with ML researchers, interpreting model and evaluation results, and making decisions about training pipelines, data, and infrastructure trade-offs.
  • Ability to build operating rhythms from scratch, influence without formal authority, and communicate clearly with both highly technical teams and senior executives.
  • Familiarity with modern program-management practices (for example, Agile, roadmapping, risk and dependency management) and the judgment to use them effectively in fast-moving research settings.
  • A hands-on, builder mindset that includes creating automation and tooling, using AI in daily work, and applying AI to streamline program operations, status reporting, risk detection, and release workflows.

Ways to stand out from the crowd:
  • Delivering graph ML, recommender, or fraud-detection systems into production, or shipping ML platforms and frameworks that other teams build on.
  • Working with graph machine learning, GNNs, relational or tabular data, graph analytics libraries such as cuGraph, and the modern data stack (warehouses, feature stores, and data pipelines).
  • Running programs that span platform and infrastructure teams and model and research teams, including GPU and compute capacity planning for training and serving.

NVIDIA offers comprehensive benefits: medical, dental, and vision insurance; a 401(k) with company match; an employee stock purchase plan; flexible, generous paid time off; parental leave; and ongoing learning and development support!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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