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Machine Learning Manager Jobs (NOW HIRING)

Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in Netherlands. This role ...

Upstart

Senior Manager, Machine Learning

OR · Remote

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager to join our leadership group. Because our ML teams share common codebases and modeling pipelines, we ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

Jobgether

NY · On-site

$90 - $130/hr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Poland. This role offers the ...

New

2T Consulting

Machine Learning Engineer

Seattle, WA

Build and optimize scalable machine learning pipelines for model training, deployment, monitoring, and lifecycle management. * Design and implement frameworks for multi-agent AI systems, emphasizing ...

New

Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Netherlands. This role offers the ...

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How much do machine learning manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning manager in the United States is $81,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $92,500.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
More about Machine Learning Manager jobs
What cities are hiring for Machine Learning Manager jobs? Cities with the most Machine Learning Manager job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Machine Learning Manager jobs? States with the most job openings for Machine Learning Manager jobs include:
What job categories do people searching Machine Learning Manager jobs look for? The top searched job categories for Machine Learning Manager jobs are:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $81,709 per year, or $39.3 per hour.

AI Director - Machine Learning

Jobgether

On-site, Remote

Full-time

Medical, Dental, PTO

Posted 12 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in Netherlands.

This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment. You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities. Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions. The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills. You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment.

Accountabilities
  • Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences.
  • Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes.
  • Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies.
  • Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions.
  • Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems.
  • Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies.
  • Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications.
  • Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence.
  • Provide technical leadership, mentorship, and strategic direction to engineering teams working on AI-driven projects.
Requirements
  • Previous experience in an AI/ML leadership role such as AI Director, AI Lead, Machine Learning Manager, or an equivalent position.
  • Strong expertise in artificial intelligence, machine learning theory, algorithms, system design, and practical implementation.
  • Advanced programming skills in Python and C++, with hands-on experience using machine learning frameworks such as PyTorch and TensorFlow.
  • Deep understanding of modern AI models, their capabilities, limitations, and appropriate use cases.
  • Ability to design and evaluate machine learning solutions while balancing research exploration with practical execution.
  • Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non-technical audiences.
  • Collaborative and mentoring-oriented mindset with a passion for innovation, problem-solving, and knowledge sharing.
  • Experience in game development or interactive entertainment environments is a plus but not required.
  • Ability to stay current with rapidly evolving AI technologies and apply emerging approaches effectively.
Benefits
  • Fully remote working environment with flexibility to work from different regions worldwide.
  • Competitive compensation package with additional benefits depending on location.
  • Generous paid time off allowance.
  • Company-wide summer and winter holiday closures separate from standard PTO.
  • Private medical and dental healthcare coverage.
  • Private mental health support program.
  • Annual health and wellbeing allowance.
  • Discretionary studio bonus opportunities.
  • High-quality technology equipment provided for home office setup.
  • Additional regional benefits based on location.
  • Opportunity to work on ambitious AI-driven projects within a collaborative and innovative engineering culture.
  • Strong focus on autonomy, continuous improvement, and meaningful impact rather than hours worked.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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