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Founding Machine Learning Engineer Jobs in Boston, MA

Lead Machine Learning Engineer

Cambridge, MA ยท On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Senior Machine Learning Engineer

Andover, MA ยท On-site

$124K - $163K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Lead Machine Learning Engineer

Cambridge, MA ยท On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Senior Machine Learning Engineer

Boston, MA ยท On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

Senior Machine Learning Engineer

Boston, MA ยท On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

Showing results 41-60

Founding Machine Learning Engineer information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

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

As of Aug 7, 2026, the average yearly pay for founding machine learning engineer in Boston, MA is $139,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Boston, MA? For Founding Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:

Machine Learning Engineer - Computational Drug Discovery

4:59 NewCo, a 5AM Ventures Company

Watertown, MA โ€ข On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
4:59 NewCo, a 5AM Ventures Company, is focused on developing a pipeline of small molecules to address unmet clinical needs. The Machine Learning Engineer will work at the intersection of machine learning research and experimental teams, ensuring that models transition from research to production effectively.
Responsibilities:
โ€ข Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
โ€ข Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
โ€ข Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
โ€ข Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
โ€ข Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration
Qualifications:
Required:
โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
โ€ข Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
โ€ข Hands-on experience developing machine learning systems using PyTorch
โ€ข Familiarity with undergraduate-level organic chemistry; you do not need to be a chemist, but should be comfortable working with molecular structures and chemical concepts
โ€ข Ability to communicate effectively with scientific collaborators from non-programming backgrounds
โ€ข Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
โ€ข We are particularly excited to bring in people who enjoy turning research ideas into tools that scientists actually use. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Preferred:
โ€ข Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
โ€ข Familiarity with LLM tooling, AI agents, or agent development frameworks
โ€ข Background in cheminformatics, computational biology, bioinformatics, or related fields
โ€ข Experience working in a startup, research, or other highly iterative technical environment
Company:
4:59 is a hands-on internal effort of 5AM Ventures to discover, incubate, and fund breakthrough science. Founded in , the company is headquartered in Boston, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.