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Director Machine Learning Jobs in Massachusetts (NOW HIRING)

Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...

Currently we are directing Neurable for virtual and augmented reality applications. We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our ...

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... Direct impact on national security missions and dual-use commercial applications. * Along with a ...

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Director Machine Learning information

See Massachusetts salary details

$39.3K

$100.4K

$154K

How much do director machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for director machine learning in Massachusetts is $100,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $115,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

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 cities in Massachusetts are hiring for Director Machine Learning jobs? Cities in Massachusetts with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $100,402 per year, or $48.3 per hour.

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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