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Senior Machine Learning Jobs in Massachusetts (NOW HIRING)

Motional

Senior Machine Learning Engineer - ML Planner

Boston, MA · On-site +1

$146K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In-depth understanding of common Machine Learning and Deep Learning algorithms * Experience designing, training, and analyzing neural networks for at least one of the following applications: motion ...

Roku

Senior Machine Learning Engineer, Ad Serving

Boston, MA · On-site

$195K - $435K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives. About the Role This role ...

Roku

Senior Machine Learning Engineer, Ad Serving

Boston, MA

$195K - $435K/yr

  • Medical

  • Life

  • PTO

We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives. About the Role This role ...

Roku

Senior Machine Learning Engineer, Voice Assistant

Boston, MA · On-site

$216K - $273K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence ...

Whoop

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site

$133K - $175K/yr

WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI ... QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused ...

Apple Inc.

Machine Learning Engineer - Health AIML

Cambridge, MA · On-site

$194.70 - $354.70/hr

  • Medical

  • Dental

  • Retirement

We are looking for a senior engineer excited about solving real-world problems in the health domain ... D. in Computer Science, Machine Learning, or a related field. * Strong background in generative ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

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All JobsMachine Learning JobsSenior Machine Learning JobsSenior Machine Learning Jobs in Massachusetts

Senior Machine Learning information

See Massachusetts salary details

$27.3K

$87.7K

$178.6K

How much do senior machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior machine learning in Massachusetts is $87,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $112,500.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

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

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
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 Senior Machine Learning jobs in Massachusetts? For Senior Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in Massachusetts look for? The top searched job categories for Senior Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Senior Machine Learning jobs? Cities in Massachusetts with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,683 per year, or $42.2 per hour.

Senior Machine Learning Engineer - ML Planner

Motional

Boston, MA • On-site, Remote

$146K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.
What You'll Be Doing:
You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:
  • Designing and executing high value experiments based on collaborative input from other machine learning engineers
  • Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
  • Timely release of major model updates, including analysis of both off-line and on-road evaluation data
  • Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
  • Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We're Looking For:
  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
  • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
  • Experience with PyTorch or other python-based deep learning frameworks
  • Experience working with large data sets and deriving insights from data
  • Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
Bonus Points
  • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • PhD in machine learning, computer vision, or robotics vision
  • Experience working on autonomous vehicles or related fields
  • Experience in deploying models into real-world environments
  • Strong programming skills in C++ and/or CUDA programming
  • This opportunity can support remote work within the United States, with occasional travel.

Working Conditions
While performing the duties of this job, the employee is frequently required to convey and detect communication
The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment
The employee may occasionally move up to 50 pounds
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$146,000-$225,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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