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

Suno

Machine Learning Scientist

Boston, MA · On-site

... machine learning models, requiring a strong background in data engineering and model training ... scientist ratio of >100x. Qualifications : Required : • 5+ years experience training ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/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

$99K - $135K/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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All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Boston, MA

Machine Learning Scientist information

See Boston, MA salary details

$84K

$152.5K

$213.6K

How much do machine learning scientist jobs pay per year?

As of Jul 17, 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 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.

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 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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $152,458 per year, or $73.3 per hour.
Machine Learning Scientist

Machine Learning Scientist

Suno

Boston, MA • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Suno is the fastest growing consumer entertainment company and the leader in AI music, seeking early members for their research team. The role involves ownership of technical decisions for building and deploying state-of-the-art machine learning models, requiring a strong background in data engineering and model training.
Responsibilities:
• You’ll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art ML models trained with an H100/scientist ratio of >100x.
Qualifications:
Required:
• 5+ years experience training state of the art models with distributed pytorch
• Intimate familiarity of the entire stack of data engineering, designing, training and evaluating machine learning models
• Track record showing independent ownership of entire research projects from start to finish
• Extensive experience training large generative models from scratch (LLMs or diffusion models)
• Bachelor's degree or equivalent required.
Preferred:
• A love of music (listening, exploring, making) is a huge plus
Company:
Suno is a music technology company that provides an AI platform for creating original songs from text prompts and other creative inputs. Founded in 2022, the company is headquartered in Cambridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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