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Machine Learning Technical Project Manager Jobs (NOW HIRING)

Senior Staff Machine Learning Engineer

$107K - $146.90K/yr

You are comfortable dealing with ambiguity on high impact projects • Accountable to senior tech ... and managing expectations if those are at risk • Demonstrated success leading technical ...

Technical Project Manager Location: Cary, NC (3 days hybrid) Duration: 6+ months contract Our client, a top-tier Management Consulting firm, is seeking a highly skilled Technical Project Manager to ...

... Technical Project Manager in Knoxville, Tennessee. Location: Knoxville, TN Salary: Highly ... machines, together with veteran business leaders experienced in scaling companies and ...

As a Technical Project Manager, you will be responsible for planning, executing, and overseeing technical projects to ensure they are completed on time, within scope, and within budget. The Work You ...

Technical Project Manager Contract role Location: New York, NY (Hybrid) TECHNICAL SKILLS Must Have • 3-5 years of experience in technical project management. • A bachelor's degree in business ...

Technical Project Manager (Performance Engg. Exp.) Bolingbrook, IL [ONSITE] We are seeking a dynamic and technically proficient individual to be deployed onsite with our customer. This role will ...

Technical Project Manager to add to their growing team. This resource will be responsible for managing 1-2 projects throughout the duration of the contract, focused on Analytics reporting for the ...

SUMMARY The Technical Project Manager I is responsible for coordinating and driving a variety of ... Dedicate time to learning and integrating new capabilities within Jira and Confluence for continual ...

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Machine Learning Technical Project Manager information

See salary details

$43.5K

$117.5K

$180K

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

As of Jun 3, 2026, the average yearly pay for machine learning technical project manager in the United States is $117,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $134,500.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning Technical Project ManagerData Scientist
Required CredentialsBachelor's or Master's in CS, Engineering, or related; PMP or Agile certificationsBachelor's, Master's, or PhD in Data Science, Statistics, or related
Work EnvironmentProject teams, cross-functional collaboration, managing ML projectsData analysis, model development, research-focused
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding project management roles in MLUnderstanding data analysis and modeling roles

The main difference between a Machine Learning Technical Project Manager and a Data Scientist lies in their focus. The project manager oversees ML projects, coordinating teams and ensuring timely delivery, while the data scientist focuses on analyzing data, building models, and deriving insights. Both roles often collaborate but serve distinct functions within ML initiatives.

More about Machine Learning Technical Project Manager jobs
What cities are hiring for Machine Learning Technical Project Manager jobs? Cities with the most Machine Learning Technical Project Manager job openings:
What states have the most Machine Learning Technical Project Manager jobs? States with the most job openings for Machine Learning Technical Project Manager jobs include:
What job categories do people searching Machine Learning Technical Project Manager jobs look for? The top searched job categories for Machine Learning Technical Project Manager jobs are:
Infographic showing various Machine Learning Technical Project Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $117,465 per year, or $56.5 per hour.

Senior Staff Machine Learning Engineer

Spotify

Remote

$107K - $146.90K/yr

Full-time

Posted 18 days ago


Job description

Job Summary:
Spotify is a leading music streaming platform, and they are seeking a Senior Staff Machine Learning Engineer to focus on recommender systems modeling. This role involves defining and executing the machine learning technical strategy to enhance personalization across music and talk content formats.
Responsibilities:
• Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling
• Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways
• Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods
• Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches
• Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle.
• Mentor engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration.
Qualifications:
Required:
• You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact
• You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus
• You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so
• You enjoy leading projects from start to finish working closely with your team and peers
• You are comfortable dealing with ambiguity on high impact projects
• You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges
• You’re passionate about the opportunity to enrich the listening experience for users around the world
• You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences.
• You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward.
• Team-first approach with developed techniques to ensure teams are happy, motivated, and productive
• You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects
• Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk
• Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration.
• Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.