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Machine Learning Manager Jobs in Massachusetts (NOW HIRING)

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Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

Collaborate with engineers, researchers, product managers, and company leadership to define and ... Experience conducting machine learning research and shipping models to production * Strong ...

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Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Collaborate with engineers, researchers, product managers, and company leadership to define and ... Experience conducting machine learning research and shipping models to production * Strong ...

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Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Collaborate with engineers, researchers, product managers, and company leadership to define and ... Experience conducting machine learning research and shipping models to production * Strong ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

Transform machine learning models into APIs to interact with other applications. * Use expert ... Experience with experiment tracking and project management tools, notably frameworks like Weights ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

Transform machine learning models into APIs to interact with other applications. * Use expert ... Experience with experiment tracking and project management tools, notably frameworks like Weights ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Set up and manage the training environment, including GPU instances and required software. Train ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Set up and manage the training environment, including GPU instances and required software. Train ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Massachusetts

Machine Learning Manager information

See Massachusetts salary details

$55.7K

$89.2K

$128.9K

How much do machine learning manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning manager in Massachusetts is $89,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $101,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

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.
What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What are popular job titles related to Machine Learning Manager jobs in Massachusetts? For Machine Learning Manager jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Massachusetts look for? The top searched job categories for Machine Learning Manager jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Manager jobs? Cities in Massachusetts with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $89,236 per year, or $42.9 per hour.

Director, Machine Learning

Boston Dynamics AI Institute

Cambridge, MA

Full-time

Posted 18 days ago

Job description

You will manage a blended team of machine learning modelers, infrastructure experts, and data engineers. This team builds data and algorithm-driven platforms as well as ML-oriented features in existing platforms. The team also directly supports our focused Research Projects. Successful individuals on our team tend to operate with autonomy and alacrity, with strong customer/stakeholder empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into deployment and maintenance.

What You will Do
  • Provide both highly technical leadership and effective people management to manage a team of engineers responsible for going from ideation to data acquisition to modeling to deployment and maintenance, serving our internal customers
  • Attract, recruit, hire, and develop a high-performing ML and Data Engineering team
  • Drive technical excellence, operational maturity, and code quality within your team
  • Drive and influence strategy, roadmap creation and execution for the ML and Data Engineering teams by working cross-functionally with stakeholders from other Engineering and Research Project teams
  • Provide strong leadership to the team, fostering a culture of collaboration, innovation, and continuous improvement
  • Collaborate with the other Engineering teams in Software, Hardware, Dev & MLOps and Test Operations to deliver on cross-functional features and capabilities
  • Get your hands dirty, and build things with us
What You Will Need
  • Ph.D. or equivalent in Computer Science or related field AND 6 or more years full-time Software Engineering work experience; OR
  • 10 years full-time Software Engineering work experience, which includes 6+ years of software engineering experience in one or more of the following areas: computer vision, natural language processing, foundational model training, reinforcement learning
  • At least 4 years experience in managing high-performing teams in Machine Learning and Data Engineering
  • Proven track record managing and scaling machine-learning teams
  • Excellent interpersonal and communication skills with the ability to collaborate with diverse stakeholders
  • Strong analytical and problem-solving abilities, with a focus on data-driven decision-making
Additional Qualifications
  • Experience managing machine learning teams at two or more companies
  • Experience training and deploying ML Models for robotics
  • Experience with robotics toolkits (ROS/ROS2)Experience with big data and orchestration systems in production: eg, Spark, Ray, Airflow DevOps experience (e.g. CI/CD Pipelines, Infrastructure as Code, Containers)
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