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Director Machine Learning Jobs in Canton, MA (NOW HIRING)

WHOOP

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site

$133K - $175K/yr

They are seeking a Senior Machine Learning Engineer to scale the intelligence layer of their AI ... direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data ...

Whoop

Senior Machine Learning Engineer, AI Platform

Boston, MA · On-site

$133K - $175K/yr

QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused ... direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data ...

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Canton, MA

Director Machine Learning information

See Canton, MA salary details

$38.1K

$97.2K

$149.1K

How much do director machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for director machine learning in Canton, MA is $97,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $112,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What cities near Canton, MA are hiring for Director Machine Learning jobs? Cities near Canton, MA with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Canton, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,210 per year, or $46.7 per hour.

Machine Learning Engineer - Computational Drug Discovery

5AM Ventures

Watertown, MA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Our team is dedicated to the development of a broad pipeline of small molecules powered by unique chemistry insights to address a wide range of highly unmet clinical needs. Our company was created within 5AM Ventures' 4:59 Initiative in 2023.
The computational team has roots from D. E. Shaw Research, one of the most rigorous computational science environments in the world. You will work directly with and learn from scientists who have operated at the frontier of computational drug discovery.
Your Role
This role sits at the intersection of machine learning research and the experimental teams that rely on computational tools to drive scientific decisions. Your primary responsibility will be ensuring that cutting-edge models move from research into production-reliably, maintainably, and in forms that scientists can effectively use.
For the right candidate, this is an unusually high-impact position. The systems you build will directly influence molecule triage, experimental prioritization, and the pace of scientific discovery. At many organizations, engineers are several layers removed from scientific decision-making. At our team, that distance is effectively zero.
We value ownership, initiative, and execution. Strong performers will have opportunities to grow into areas such as machine learning research, cheminformatics, AI-driven drug discovery, or agent development. The exact trajectory is flexible and can be shaped around individual strengths and interests.
Your Responsibilities
  • Own and maintain production machine learning infrastructure, ensuring models developed by the research team are robust, maintainable, and deployable
  • Develop computational tools, data pipelines, and machine learning systems that support scientific workflows across chemistry and biology
  • Collaborate closely with chemists and biologists to understand requirements and translate them into effective software solutions
  • Design and build internal AI agents and automation systems, with substantial opportunity to define both the technical direction and user experience
  • Write clean, well-tested, version-controlled code and contribute to a strong engineering culture through code review and technical collaboration

Your Background & Qualifications
  • Bachelor's or Master's degree in Computer Science, Chemistry, Physics, Data Science, or a related technical field
  • Strong software engineering fundamentals, including code quality, testing, version control, and CI/CD practices
  • Hands-on experience developing machine learning systems using PyTorch
  • 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
  • Ability to communicate effectively with scientific collaborators from non-programming backgrounds
  • Strong sense of ownership and the ability to independently drive ambiguous projects from concept to completion
  • 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 QUALIFICATIONS
  • Experience with AWS, MLflow, SQL, Polars, pandas, Ray, or scikit-learn
  • Familiarity with LLM tooling, AI agents, or agent development frameworks
  • Background in cheminformatics, computational biology, bioinformatics, or related fields
  • Experience working in a startup, research, or other highly iterative technical environment

We believe great people do their best work when they're supported. That's why we offer competitive compensation, meaningful equity, comprehensive health benefits, generous time off, professional development opportunities, and the flexibility to do your best work.
In addition to base salary each role has a bonus target to share in company success as well as ownership through equity.
We also provide a full benefits package that is effective from your first day of hire that includes:
  • Medical/Dental insurance with the company covering 90% of your premiums
    • Fully-funded HSA to cover your deductible responsibility
  • 100% Company-paid life insurance regardless if electing benefits
  • Free parking on-site
  • Unaccrued vacation time, with the expectation for employees to take at least 3 weeks annually
  • 401k program, employee funded
  • Weekly catered team lunch
  • On-site fitness center with free classes and amenities

We are an equal opportunity employer. We do not discriminate in regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected characteristics.
Please note that we do not accept unsolicited resumes from recruitment agencies and external recruiters. No fees will be paid for such submissions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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