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Head Of Machine Learning Jobs in Boston, MA (NOW HIRING)

Head of Finance

Boston, MA · On-site

$160K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're currently hiring a Head of Finance to be the senior financial mind inside the company ...

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're currently hiring a Head of Finance to be the senior financial mind inside the company ...

Head of Finance

Boston, MA · On-site

$150 - $200/hr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... We're currently hiring a Head of Finance to be the senior financial mind inside the company ...

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Head Of Machine Learning information

See Boston, MA salary details

$26.6K

$69.4K

$118.4K

How much do head of machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of machine learning in Boston, MA is $69,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

What are the key skills and qualifications needed to thrive as a head of machine learning?

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.

What are popular job titles related to Head Of Machine Learning jobs in Boston, MA?

For Head Of Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Head Of Machine Learning jobs in Boston, MA look for?

The top searched job categories for Head Of Machine Learning jobs in Boston, MA are:

What cities near Boston, MA are hiring for Head Of Machine Learning jobs?

Cities near Boston, MA with the most Head Of Machine Learning job openings:

Infographic showing various Head Of Machine Learning job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 18% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $69,379 per year, or $33.4 per hour.

Machine Learning Engineer - Health AIML

Cambridge, MA • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

$250/hr

Other

Medical, Dental, Retirement

Re-posted 6 hours ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Cambridge, Massachusetts, United States Machine Learning and AI

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

Description

In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state‑of‑the‑art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross‑functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.

Minimum Qualifications
  • 10+ years of overall software development experience.
  • Experience leading a team and/or a proven track record of cross‑functional collaboration to deliver customer‑facing features with machine learning capabilities in production.
  • BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
Preferred Qualifications
  • Ph.D. in Computer Science, Machine Learning, or a related field.
  • Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
  • 5+ years of hands‑on experience in state‑of‑the‑art machine learning and deep learning applied to large‑scale datasets and/or production applications.
  • Proficiency developing and working with large‑scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
  • Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi‑agent, RAG, tool use, memory management, etc.).
  • Experience with healthcare data, products, and workflows.
  • Ability to thrive in a fast‑paced environment, deal with uncertainty, and adapt to new and changing requirements.
  • Proven track record of contributing to diverse teams in a collaborative environment.
  • A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $194,700 and $354,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses—including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976