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

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts • Ability to work effectively in a fast-paced startup environment with evolving projects and ...

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts • Ability to work effectively in a fast-paced startup environment with evolving projects and ...

Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... A collaborative and dynamic startup environment. * Professional growth and development ...

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... A collaborative and dynamic startup environment. * Professional growth and development ...

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts • Ability to work effectively in a fast-paced startup environment with evolving projects and ...

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... startup environment with evolving projects and shifting priorities driven by business needs • ...

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... startup environment with evolving projects and shifting priorities driven by business needs • ...

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts • Ability to work effectively in a fast-paced startup environment with evolving projects and ...

Showing results 41-60

Machine Learning Startup information

See Boston, MA salary details

$27.7K

$46.3K

$95.7K

How much do machine learning startup jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning startup in Boston, MA is $46,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $50,000.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the most commonly searched types of Machine Learning Startup jobs in Boston, MA?

The most popular types of Machine Learning Startup jobs in Boston, MA are:

What are popular job titles related to Machine Learning Startup jobs in Boston, MA?

For Machine Learning Startup jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Startup jobs in Boston, MA look for?

The top searched job categories for Machine Learning Startup jobs in Boston, MA are:

Infographic showing various Machine Learning Startup job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,322 per year, or $22.3 per hour.

FL129 | Cambridge, MA Senior Scientist, Machine Learning

Flagship Pioneering

Cambridge, MA • On-site

$168 - $258.50/hr

Other

Medical, Retirement

Posted 14 days ago


Job description

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologiesin order totransform health care and sustainability?

Flagship Labs 129 (FL129) is an early-stage biotechnology startup with an ambitious and exciting mission:to develop a technology tofacilitatethe 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 andknow-howof 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, andwe’relooking for someone who thinks critically and will influence the company’s scientific direction.
  • Development, training, validation, and application of novel generative chemistry andmolecular models
  • Curate training and benchmark datasets, and design and implement rigorous benchmarks to assess model performance.
  • Optimizeexisting workflows andestablishbest 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 andrelated.
  • Experience training and fine-tuning molecular models for taskssuch 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.
  • Expertisewitha 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 communicationskills, and comfort in working in and contributing to a dynamic and cross-functional team environment. The level of the role will becommensuratewith the education and years of experience of the identified candidates.

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.

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.

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