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Machine Learning Scientist Jobs in Boston, MA (NOW HIRING)

Axon

Senior Machine Learning Scientist

Boston, MA

$99.40K - $135.80K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99.40K - $135.80K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

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Machine Learning Scientist information

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$84K

$152.5K

$213.6K

How much do machine learning scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning scientist in Boston, MA is $152,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,207.00 and $169,674.00 per year, depending on experience, location, and employer.

What is a Machine Learning Scientist job?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

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

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the typical daily tasks and collaboration opportunities for a Machine Learning Scientist?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.
More about Machine Learning Scientist jobs
What are the most commonly searched types of Machine Learning Scientist jobs in Boston, MA? The most popular types of Machine Learning Scientist jobs in Boston, MA are:
What are popular job titles related to Machine Learning Scientist jobs in Boston, MA? For Machine Learning Scientist jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Boston, MA look for? The top searched job categories for Machine Learning Scientist jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Scientist jobs? Cities near Boston, MA with the most Machine Learning Scientist job openings:
Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Boston, MA as of May 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $152,458 per year, or $73.3 per hour.
Machine Learning Scientist

Machine Learning Scientist

Roberts Recruiting

Waltham, MA

Other

Posted 9 days ago

Job description

We are MIT Media Lab spin-off,the pioneer in emotion recognition technology, the next frontier of artificial intelligence. We bringemotional intelligence to the digital world by measuring and analyzing facial expressions of emotion. We are growing our team to improve and expand our core technologies. We hope to help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion. This position is on the Science team, the team tasked with creating and refining our technology. This position is ideal for someone who is a great researcher that will contribute ideas and want to help shape the future of this space.
Responsibilities
  • Apply supervised and semi-supervised machine learning techniques on a variety of problems using our large dataset of spontaneous real-world face data
  • Experiment with deep architectures for the sensing and modeling of emotion
  • Prototype new forms of emotion sensing
  • Contribute to ourcore in-market SDK codebase
  • Other duties as assigned
Qualifications
  • A Masters/PhD degree in EE/Computer Science with specialization in machine learning, deep learning, computer vision or related areas.
  • Demonstrated experience (publications, projects) solving machine learning problems
  • Solid background and experience in "large-scale" machine learning methods, including, but not limited to, self-taught learning, transfer learning, co-training, and one-shot methods, as well as feature learning and deep convolutional architectures
  • Execute ideas effectively and efficiently

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