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Staff Machine Learning Engineer Jobs in Boston, MA

Roberts Recruiting

Machine Learning Engineer

Boston, MA · On-site

As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...

IMC Inc

Machine Learning Engineer

Dorchester, MA

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

SynergisticIT

Machine Learning Engineer

Boston, MA

From staffing to full implementation of projects we provide the highest quality IT Services. We do ... Work with an international top-notch engineering team with full commitment on Machine Learning ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Remark

Machine Learning Engineer

Boston, MA · On-site

What We're Looking For As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site +1

$161K/yr

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective ...

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All JobsStaff Machine Learning Engineer JobsStaff Machine Learning Engineer Jobs in Boston, MA

Staff Machine Learning Engineer information

See Boston, MA salary details

$25K

$107.9K

$209.1K

How much do staff machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for staff machine learning engineer in Boston, MA is $107,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $135,800.00 per year, depending on experience, location, and employer.

What does a staff ML engineer do?

A staff machine learning engineer leads the design, development, and deployment of advanced machine learning models within an organization. They often oversee technical strategy, mentor team members, and collaborate with cross-functional teams to integrate AI solutions, requiring expertise in programming, data analysis, and ML frameworks. This role typically involves high-level problem solving and ensuring scalable, efficient AI systems.

What are the typical collaboration and leadership responsibilities for a Staff Machine Learning Engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What engineers make $500,000?

Senior staff machine learning engineers at large tech companies or in specialized roles can earn $500,000 or more annually, often including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in deep learning and data modeling, and a track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often found in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

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

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a Staff Machine Learning Engineer job?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

Which 3 jobs will survive AI?

Staff Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and oversee AI systems, requiring advanced technical skills and domain expertise. Jobs that involve complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled trades—are also expected to persist alongside AI advancements. These roles typically require human judgment, adaptability, and interpersonal skills that AI cannot easily replicate.
What are the most commonly searched types of Staff Machine Learning Engineer jobs in Boston, MA? The most popular types of Staff Machine Learning Engineer jobs in Boston, MA are:
What are popular job titles related to Staff Machine Learning Engineer jobs in Boston, MA? For Staff Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Staff Machine Learning Engineer jobs in Boston, MA look for? The top searched job categories for Staff Machine Learning Engineer jobs in Boston, MA are:
Staff Machine Learning Engineer jobs near you
Infographic showing various Staff Machine Learning Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 6% As Needed, 69% Full Time, 17% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,912 per year, or $51.9 per hour.
Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

Boston Dynamics

Waltham, MA

$154K - $222K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

ML Engineer

We are seeking a highly experienced and motivated ML Engineer to join our Stretch Grasping Intelligence team. In this pivotal role, you will help develop novel AI algorithms to solve real-world mobile perception and manipulation problems. A strong background in deep learning methods for robotics, such as Reinforcement Learning, VLA models, and/or behavior cloning, is highly desirable for success in this position. You will work on techniques that tightly couple perception to robot behavior and planning and produce efficient and robust policies. You will be instrumental in building solutions that we can deliver to our customers. You will collaborate closely with software, controls, and hardware teams to rapidly test, iterate, and deploy your algorithms on robot. You will work with other leaders on the project to maximize the capabilities of the Stretch robot.

Our team is responsible for enabling the Stretch robot to intelligently manipulate objects in warehouse environments. We also develop and maintain key infrastructure that facilitates the continuous development of these advanced capabilities. We regularly conduct on-robot testing and perform in-depth log analysis to continually enhance the performance and reliability of the solutions we offer our customers around the world.

In this role, you will:

  • Bring state-of-the-art AI methods out of the research lab and into the Stretch product
  • Help develop datasets, infrastructure, and tooling to build ML models at scale.
  • Advocate for and leverage the use of simulation tools (e.g. MuJoCo, Gazebo).
  • Integrate the use of novel techniques into Stretch software systems.
  • Collaborate with adjacent teams (e.g. Manipulation, Planning, SW Platform) to define requirements and propose solutions.

We are looking for:

  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
  • 3 years of experience building robotic algorithms, including training and deploying AI policies, working with robot hardware, and leveraging simulation.
  • Strong foundation in Python and modern ML frameworks (e.g. PyTorch, Jax).
  • Strong analytical and debug skills.
  • Demonstrated ability to be successful in C++ and Python codebases.
  • Background in Reinforcement Learning, VLA models, or Behavior Cloning.

Nice to have:

  • Publications at top tier venues including RSS, CoRL, Science Robotics, ICLR, NeurIPS, CVPR is a plus.

Don't worry if your experience doesn't perfectly align with the qualifications. We are seeking candidates who are enthusiastic, eager to learn, and ready to grow with our team.

The base pay range for this position is between $154,000 to $222,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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