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

Whoop

Senior Manager, Machine Learning, SaMD

Boston, MA · On-site

Our Health Machine Learning team develops the algorithms and models that power health features used ... Direct experience shipping algorithms or ML-enabled software in a regulated environment (Software ...

Whoop

Senior Manager, Machine Learning, SaMD

Boston, MA · On-site

$170 - $230/hr

Our Health Machine Learning team develops the algorithms and models that power health features used ... Direct experience shipping algorithms or ML-enabled software in a regulated environment (Software ...

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 ...

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

Director Machine Learning information

See Lexington, MA salary details

$40.4K

$103.3K

$158.4K

How much do director machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director machine learning in Lexington, MA is $103,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $119,100.00 per year, depending on experience, location, and employer.

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 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.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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

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

What are popular job titles related to Director Machine Learning jobs in Lexington, MA?

For Director Machine Learning jobs in Lexington, MA, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Lexington, MA look for?

The top searched job categories for Director Machine Learning jobs in Lexington, MA are:

What cities near Lexington, MA are hiring for Director Machine Learning jobs?

Cities near Lexington, MA with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Lexington, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $103,290 per year, or $49.7 per hour.

Principal Scientist, Machine Learning

Flagship Pioneering, Inc.

Cambridge, MA • On-site

Full-time

Medical, Retirement

Posted 16 days ago

Job description

ABOUT PIONEERING INTELLIGENCE
Pioneering Intelligence builds on Flagship Pioneering's legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship's integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and
beyond.
THE ROLE
We are seeking a Principal Scientist (Embedded ML/Computational) to lead AI/ML and computational projects that accelerate pharmaceutical R&D across the preclinical, translational, and clinical continuum, working closely with Pioneering Medicines (PM) and across Flagship's platform companies as part of the company origination process. You will define and deliver pragmatic AI strategies and oversee method and platform development across omics, biomolecule design, multi-o, systems biology, and scientific literature mining, ensuring rigor in model development, benchmarking, scaling, and reporting. Throughout, you will use LLM-based agents and agentic workflows as the connective tissue that ties these methods into end-to-end pipelines scientists rely on. You will manage cross functional contributors as applicable, influence company direction, and represent PI to venture teams, PM, and external partners. The ideal candidate is a self-directed serial deep diver - someone who can move from protein design one week to multi-omics or docking pipelines the next, and wire them together with agents that automate scientific workflows.
KEY RESPONSIBILITIES
  • Program Leadership: Lead development, implementation, control, and reporting of several AI/ML and computational projects within assigned ventures and PM programs across the preclinical, translational, and clinical continuum, in line with broader strategic plans of PI and Flagship.
  • Technical Ownership: Own the build, scaling, benchmarking and maintenance of agentic systems that combine ML and computational biology tools (genomics, biomolecule design, literature mining, system biology, etc) which serve as end-to-end systems for accelerating preclinical, translational and clinical R&D.
  • Best Practices: Promote operational excellence in AI projects by educating cross-functional collaborators.
  • Team Leadership: Manage and/or coordinate internal and external scientists/engineers and cross functional project teams as applicable; mentor early hires; support recruiting and interview.
  • Planning & Resourcing: Contribute to project planning, including budgets, resources, and timelines; surface risks and tradeoffs early with clear options.
  • Landscape & Strategy: Independently scout emerging literature and the AI/ML and agentic-AI landscape; synthesize concepts to propose new development strategies and identify opportunities to accelerate R&D across the preclinical, translational, and clinical continuum for PI, PM, and venture portfolios.
  • Communication & Influence: Influence the course of projects and technical approaches; adapt and present complex findings to diverse audiences to support meaningful interpretation and action.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS
  • Master's, or PhD in a relevant field (e.g., machine learning, mathematics, statistics, computational sciences) with 5+ years' experience scientific/engineering/computational in academic, pharmaceutical, or biotechnology settings; industry AI/ML experience preferred.
  • Experience driving results directly or indirectly through teams of engineers/scientists in dynamic, fastpaced, entrepreneurial, and technical environments.
  • Clear evidence of sustained independent thought and creativity driving high impact, cross disciplinary AI/ML projects.
  • Successful track record of leadership and contribution to decision making on progression of AI/ML models within projects or programs.
  • Depth across multiple core tools and concepts, including Python; modern ML frameworks (PyTorch or JAX/TensorFlow); version control; databases; deep learning architectures; and relevant informatics software.
  • Consistent record of outstanding performance reflected in publications, patents, or high impact internal reports where applicable.

PREFERRED QUALIFICATIONS
  • Breadth across domains such as genomics, protein modeling/design, proteomics/mass spec, multi-omics, cheminformatics/docking/ADMET, biophysics/MD, and scientific literature mining, with the ability to connect them using LLM-based agents and agentic workflows.
  • Hands-on experience with agentic AI and orchestration frameworks (e.g., Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen).
  • Experience integrating LLMs and model platforms, including Anthropic, OpenAI, Vertex AI, and Amazon Bedrock, and building evaluation and feedback-loop frameworks for agentic systems.
  • Familiarity with sandboxed code execution and agent harness development.
  • Experience with LLM observability and monitoring tooling and cost-governance / FinOps for AI infrastructure.

WHY PIONEERING INTELLIGENCE
  • Operate at the frontier: Build and deploy AI/ML that directly powers discovery and decision making across multiple new ventures.
  • Own the full stack: From scoping and data contracts to models, MLOps, and internal UIs-ship end-to-end systems that scientists rely on daily.
  • Compound impact: Convert one off wins into shared libraries and templates adopted across the PI portfolio.
  • Work with founders: Partner closely with venture leadership and PI platform engineers; influence strategy through hands on delivery.
  • Grow fast: Stretch across domains, take on situational leadership, present at conferences, and help shape first ML teams.

ABOUT FLAGSHIP PIONEERING:
Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.
At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.
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.
The salary range for this role is $208,000 - $286,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Intelligence'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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