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Machine Learning Manager Jobs in Massachusetts (NOW HIRING)

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

Collaborate across teams of data scientists, product managers, designers, engineers, and domain ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

GN Group

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *Please consider before applying: This is a hybrid role, and ... Partner closely with engineers and product managers to deliver ML solutions that enhance and ...

DraftKings

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... You'll partner closely with data scientists, engineers, and product managers to build systems that ...

DraftKings, Inc.

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... You'll partner closely with data scientists, engineers, and product managers to build systems that ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... management, and test automation. * Experience with robotics, autonomous systems, or real-time ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

$200K - $220K/yr

You will work closely with data scientists, engineers, and product managers to bring high-impact ML ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

You will work closely with data scientists, engineers, and product managers to bring high-impact ML ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... Create and manage inference serving deployment pipelines * Benchmark, profile, and evaluate ...

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All 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 Jun 28, 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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

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 machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

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, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

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. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

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 June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,236 per year, or $42.9 per hour.
Senior Machine Learning Data Scientist

Senior Machine Learning Data Scientist

Roberts Recruiting

Cambridge, MA

Other

Posted 6 days ago

Job description

Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are transforming the way that care givers across the country integrate information and make decisions. With a recent acquisition, we now have an unprecedented combination of scale and industry leading technology and talent to change the way we experience healthcare. Specifically designed with the size and scale to address the complexity of today's and tomorrow's healthcare system, we are a company committed to advancing medical benefits management - and enabling better outcomes for patients, providers, and plans. Ours is an evidence-based approach that leverages our exceptional capabilities, powerful analytics, and
an acute sensitivity to the challenges and needs of everyone involved across the healthcare spectrum. Applying proven talent and leading-edge technology, we harness healthcare's evolving demand and inherent change to realize and deliver improved results for everyone.
Want to join us?
We leverage our deep evidence based knowledge and technology to deliver services and software solutions so healthcare payers and providers can deliver the best quality care. Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning.
We are seeking highly creative and motivated post graduate and/or postdoctoral data scientists with exceptional skills who will complement our growing team. Our NLP platform coupled with large proprietary healthcare datasets and strategic vision of
transforming decision making in healthcare require a state of the art machine learning platform. As a
machine learning data scientist, you will:
Design, develop, and prototype machine learning and statistical analysis techniques to automate clinical decision making, including deep learning, collaborative filtering, and other machine learning techniques to extract insights at scale from structured and unstructured electronic health record data and other healthcare data sources.
Design and apply statistical techniques to evaluate and monitor the outcomes of automated clinical decision making at scale
Help evolve our NLP platform, combining input from clinicians and other domain experts with state of the art NLP techniques
Build data driven apps whose goals are to: translate data into intelligence, help transform the work of clinical decision making, quality reporting and pathway planning, and to help solve a variety of strategic business problems in healthcare.
Assists business with causal inferences & observations providing data-driven business insights.
Requirements:
"Can do" attitude: you are biased towards action and ready to speak your mind
Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or a related field, or Master's degree with 3+ years of industry experience.
Strong publication record and/or additional industry experience a plus
Deep machine learning expertise. Experience with Deep Learning and/or Natural Language Processing algorithms and tools a strong plus.
Experience with a diverse set of computing technologies: Python, Linux, Bash, SQL. High proficiency in Python a strong plus. Experience with Java/C++ a strong plus.
Experience with big data frameworks (Hadoop, Spark, etc.) and/or NoSQL databases a plus
Experience with healthcare data a plus
Excellent organizational and communication skills
What's in it for you, other than improving patient care? We carefully select really smart people and provide them with the autonomy to build great software. We recognize and reward based on merit, not titles. We have amazing views from our offices, lots of food, an espresso machine and other perks. But most of all we offer the chance to build your career with people like you who want to solve problems, and have fun together.

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