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

Leveraging advanced causal inference and machine learning, PhaseV detects hidden signals in ... The Medical Director will serve as a key clinical voice across all four PhaseV product modules ...

Leveraging advanced causal inference and machine learning, PhaseV detects hidden signals in ... The Medical Director will serve as a key clinical voice across all four PhaseV product modules ...

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... You will develop and apply hybrid approaches that combine machine learning with mechanistic ...

As a Director, you will set the strategic direction and lead business development efforts, making ... Responsibilities - Leading the design and development of AI and Machine Learning solutions to ...

Showing results 41-60

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 8, 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:
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.

$126K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Job Description:Note: Fidelity will not provide immigration sponsorship for this positionThe RoleThis is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You will have:

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.

Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding

Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools

Experience taking an application from research to production and realizing measurable value from it to the team or firm

Ability to work on and drive progress for multiple projects at the same time

Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions

Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results

Excellent planning, project management, leadership, and research skills

Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations

Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges

The Team

We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $126,000-255,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Data Analytics and Insights

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