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Director Machine Learning Jobs in Massachusetts (NOW HIRING)

Iambic Therapeutics, Inc

$148K - $186K/yr

JOB SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic ... Direct exposure to multi-task learning * Hands-on experience with agentic data extraction * HPC or ...

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 ...

PhaseV

Medical Director

Cambridge, MA · On-site

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 ...

PhaseV

Medical Director

Cambridge, MA · On-site

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 ...

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Director Machine Learning information

See Massachusetts salary details

$39.3K

$100.4K

$154K

How much do director machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director machine learning in Massachusetts is $100,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $115,800.00 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 Massachusetts?

The most popular types of Machine Learning jobs in Massachusetts are:

What are popular job titles related to Director Machine Learning jobs in Massachusetts?

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

What job categories do people searching Director Machine Learning jobs in Massachusetts look for?

The top searched job categories for Director Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Director Machine Learning jobs?

Cities in Massachusetts with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $100,402 per year, or $48.3 per hour.

Machine Learning Scientist - Clinical Prediction

Iambic Therapeutics, Inc

On-site, Remote

$148K - $186K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

Job description

JOB SUMMARY
We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. In this role, you will design and implement clinical fine-tuning of Enchant, our multimodal transformer model trained on a wide variety of biomedical data, pushing the boundaries of what large-scale foundation models can achieve in drug discovery.
This role spans data sourcing through to production deployment. You will identify, curate, and evaluate datasets that support prediction of relevant clinical endpoints (patient- and trial-level outcome modeling, safety/toxicity prediction, and PK/PD response modeling) and fine-tune Enchant to deliver critical clinical insights. This includes developing rigorous, leakage-resistant experimental frameworks, optimizing training, orchestrating runs at scale, and working with colleagues across ML and clinical functions to put these models into the hands of scientists making real therapeutic decisions.
KEY RESPONSIBILITIES
  • Fine-tune large-scale multimodal transformer models for clinical and biomedical applications
  • Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes
  • Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage (split, metadata, trial-family, temporal, ontological, arm-comparator, etc.)
  • Design and maintain benchmarking and evaluation frameworks that track model quality across models and tasks
  • Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics.
  • Collaborate with ML and software engineering colleagues to deploy and operationalize models
  • Partner with clinical scientists and pharmacologists to ensure model development is grounded in drug discovery and development needs
  • Communicate results to internal teams, external partners, and at conferences
  • Generate high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity

REQUIRED QUALIFICATIONS
  • MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth
  • Strong Python experience, including implementing and fine-tuning deep learning models
  • Demonstrated experience in clinical science or working with clinical datasets
  • Excellent Data Science skills (problem framing, data sourcing, extraction, cleaning, visualization, EDA, modeling, tuning, storytelling, etc.)
  • Enough independence to own a workstream from data ingestion through evaluation
  • Strong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testing
  • Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)

PREFERRED QUALIFICATIONS
  • Experience building and deploying clinically relevant prediction models
  • Familiarity with ClinicalTrials.gov/AACT data
  • Experience with MedDRA, pharmacovigilance, or adverse event data
  • Direct exposure to multi-task learning
  • Hands-on experience with agentic data extraction
  • HPC or large-scale computing experience

ABOUT IAMBIC THERAPEUTICS
Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.
MISSION & CORE VALUES
Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.
PAY AND BENEFITS
We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

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