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Machine Learning Project Manager Jobs (NOW HIRING)

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies ...

Microsoft AI

Machine Learning

Redmond, WA · On-site

... g., managing structured and unstructured data, developing and debugging models, creating ... Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing ...

New

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT

$150K - $200K/yr

Act as a self-sufficient project manager, overseeing your projects from conception to completion. About You: * Strong experience in machine learning engineering, including data handling, model ...

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to design and develop machine learning and AI ... Preferred : • Internship, research, or project experience applying ML to real-world or research ...

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All JobsMachine Learning Project Manager Jobs

Machine Learning Project Manager information

See salary details

$44.5K

$96.6K

$154.5K

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

As of Jun 13, 2026, the average yearly pay for machine learning project manager in the United States is $96,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $113,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning Project Managers will continue to be essential as they oversee AI development, coordinate teams, and ensure project goals are met. Roles requiring complex problem-solving, creativity, and human judgment—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs benefit from interpersonal skills, critical thinking, and adaptability that AI cannot easily replicate.

Will AI replace PMP?

AI is unlikely to fully replace Project Management Professionals (PMP) as the role requires leadership, strategic thinking, and stakeholder communication that AI cannot replicate. Instead, AI tools can support PMPs by automating routine tasks, data analysis, and scheduling, allowing them to focus on complex decision-making and team management. Certification and experience remain essential for effective project management in an AI-enhanced environment.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large organizations or tech companies. These positions usually require advanced skills in AI, machine learning, and leadership, along with significant experience and sometimes specialized certifications. Compensation at this level reflects the complexity and strategic importance of AI initiatives within the company.

What is the difference between Machine Learning Project Manager vs Data Scientist?

AspectMachine Learning Project ManagerData Scientist
Required CredentialsBachelor's or Master's in Business, Computer Science, or related; PMP or Agile certificationsDegree in Computer Science, Statistics, or related; often a Master's or PhD
Work EnvironmentProject teams, cross-functional collaboration, client interactionsResearch, data analysis, model development in labs or offices
Industry UsageTech companies, finance, healthcare, where managing ML projects is keyData-driven roles across industries, focusing on model building and analysis

The main difference is that a Machine Learning Project Manager oversees ML projects, coordinating teams and ensuring timely delivery, while a Data Scientist focuses on developing models and analyzing data. Both roles require technical knowledge, but their core responsibilities differ significantly.

What is the salary of AI ML project manager?

The salary of a Machine Learning Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and benefits.
What cities are hiring for Machine Learning Project Manager jobs? Cities with the most Machine Learning Project Manager job openings:
What states have the most Machine Learning Project Manager jobs? States with the most job openings for Machine Learning Project Manager jobs include:
Machine Learning Project Manager jobs near you

Machine Learning Engineer - Expert

Mercor

San Francisco, CA • On-site, Remote

$90/hr

Full-time

Posted 9 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote

Role Responsibilities

  • Develop end-to-end machine learning solutions for challenging prediction and modeling problems.
  • Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.
  • Perform exploratory data analysis, feature engineering, and data preprocessing.
  • Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.
  • Review and validate the technical quality of machine learning projects and deliverables.
  • Identify opportunities to improve model performance through systematic experimentation and iteration.

Qualifications

Must-Have

  • Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.
  • 2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.
  • Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
  • Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.
  • Strong understanding of model evaluation metrics, validation methodologies, and experimental design.
  • Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.
  • Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.

Preferred

  • PhD from a leading research university.
  • Experience at leading technology companies, AI labs, research institutions, or high-growth startups.
  • Participation in competitive machine learning or data science competitions.
  • Experience optimizing models against performance-based evaluation metrics.
  • Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.
  • Publications, patents, or significant open-source contributions in machine learning or AI.
  • Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.