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

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems * Experience with standard data science tools such as scikit-learn, Pandas, and ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

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 Aug 7, 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?

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 does a machine learning scientist do?

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 skills and qualifications are needed to be a machine learning scientist?

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 cities near Boston, MA are hiring for Machine Learning Scientist jobs? Cities near Boston, MA with the most Machine Learning Scientist job openings:
Infographic showing various Machine Learning Scientist job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $152,458 per year, or $73.3 per hour.

Senior Scientist, Machine Learning

Flagship Pioneering, Inc.

Cambridge, MA

$100K - $136K/yr

Full-time

Medical, Retirement

Re-posted 21 days ago


Job description

What if...you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? 

Flagship Labs 129 (FL129) is an early-stage biotechnology startup with an ambitious and exciting mission: to develop a technology to facilitate the data generation necessary for training the next generation of generative chemistry models to unlock the future of small molecule drug discovery. FL129 is developing a revolutionary approach to this challenge and is recruiting a team of top-tier scientists to build this powerful and first-in-category platform. This is a unique opportunity to be one of the first employees of a biotech startup that combines an innovative mindset with the resources and know-how of Flagship Pioneering. 

Position Summary: 

We are seeking a motivated and highly collaborative Senior Scientist to join FL129's growing team of experimental and computational scientists to build a novel platform technology. The successful candidate will have strong track record of scientific and technical innovation in machine learning for molecular modeling (proteins and/ small molecule ligands). Additional experience with computational docking methods is preferred. The ideal teammate will be highly adaptable, have strong organizational and communication skills, and will thrive in a highly collaborative and multidisciplinary environment. 

Key Responsibilities: 

  • Technology development, aligned with FL129's core strategic goals. This role is among the first hires, and we're looking for someone who thinks critically and will influence the company's scientific direction. 
  • Development, training, validation, and application of novel generative chemistry and molecular models 
  • Curate training and benchmark datasets, and design and implement rigorous benchmarks to assess model performance. 
  • Optimize existing workflows and establish best experimental and documentation practices to enable platform excellence. 
  • Close collaboration with wet lab scientific team to drive achievement of key project goals. 
  • Translate experimental data into meaningful insights and present results at team meetings. 

Preferred Qualifications: 

  • Ph.D. in machine learning, computational biology, or a similar field with 5+ years of industry or postdoctoral experience. 
  • Familiarity with SOTA models such as Boltz-2, ESM-2, Chai-2 and related. 
  • Experience training and fine-tuning molecular models for tasks such as: protein language modeling, protein structure prediction, binder prediction, protein design, protein engineering, small molecule pose prediction, and related. 
  • Experience curating publicly available datasets, including mutational scanning data. 
  • Expertise with a high-level programming language such as Python and modern HPC and cloud compute workflows. 
  • Nice to have: Deep structural understanding of proteins. 
  • Motivated team-player and independent force-of-nature with strong organizational and written/verbal communication skills. 

What we can offer you: 

  • Opportunity to lay the scientific foundation of a transformative platform company as an early employee. 
  • Custom-tailored role to maximize impactful contributions, professional growth, and scientific interests. 
  • Weekly lunches, monthly social events, and community lunchroom with free snacks, coffee, all embedded in a vibrant community of scientists and entrepreneurs across multiple Flagship Pioneering portfolio companies. 

We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort in working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidates. 

Flagship Pioneering and our ecosystem companies arecommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto

Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. 

The salary range for this role is $168,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL129 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL129's good faith estimate as of the date of publication and may be modified in the future.