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Senior Staff Machine Learning Engineer Jobs in Boston, MA

Lead Machine Learning Engineer (IC)

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... Job Summary We are seeking an experienced AI/ML engineer with strong research and developmentskills ...

Showing results 41-60

Senior Staff Machine Learning Engineer information

See Boston, MA salary details

$64.6K

$137.5K

$199.4K

How much do senior staff machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior staff machine learning engineer in Boston, MA is $137,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $155,900.00 per year, depending on experience, location, and employer.

What are the primary challenges a senior staff machine learning engineer faces when leading large-scale ML projects?

Senior Staff Machine Learning Engineers often navigate complex challenges such as aligning cross-functional teams, ensuring model scalability, and maintaining data integrity across evolving pipelines. They are responsible for setting technical direction, mentoring junior engineers, and driving collaboration between data scientists, software engineers, and product managers. Balancing hands-on technical work with high-level architectural decisions, while also keeping up with rapid advancements in the field, is key to success in this role.

What does a senior staff machine learning engineer do?

A Senior Staff Machine Learning Engineer leads the design, development, and deployment of complex machine learning systems within an organization. They work closely with cross-functional teams to identify business challenges that can be addressed with machine learning and guide the technical strategy for implementing solutions. Their responsibilities often include mentoring junior engineers, setting best practices, overseeing large-scale projects, and ensuring models are robust, scalable, and ethically implemented. Additionally, they may contribute to research and development, staying up-to-date with the latest advancements in the field.

What is the difference between Senior Staff Machine Learning Engineer vs Machine Learning Engineer?

AspectSenior Staff Machine Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's/PhD in CS, AI, or related; experience in ML frameworksBachelor's/Master's in CS, AI, or related; some experience in ML
Work EnvironmentLeadership roles, cross-team collaboration, strategic planningImplementation, model development, experimentation
Industry UsageTech companies, research labs, large enterprisesStartups, tech firms, research projects

The Senior Staff Machine Learning Engineer typically holds a more senior, strategic role with leadership responsibilities, while the Machine Learning Engineer focuses on developing and deploying ML models. Both roles require strong technical skills, but the senior position involves guiding projects and mentoring teams.

What are the key skills and qualifications needed to thrive as a senior staff machine learning engineer, and why are they important?

To thrive as a Senior Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, software engineering, and a relevant advanced degree (often MS or PhD). Mastery of tools such as Python, TensorFlow, PyTorch, distributed computing frameworks, and experience with cloud platforms is typically required. Strong leadership, communication, and project management skills distinguish top performers in this role. These abilities are crucial for designing scalable ML solutions, leading teams, and driving impactful business outcomes.
What are popular job titles related to Senior Staff Machine Learning Engineer jobs in Boston, MA? For Senior Staff Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Senior Staff Machine Learning Engineer jobs in Boston, MA look for? The top searched job categories for Senior Staff Machine Learning Engineer jobs in Boston, MA are:
Infographic showing various Senior Staff Machine Learning Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $137,492 per year, or $66.1 per hour.

Machine Learning Engineer - Health AIML

Apple Inc.

Cambridge, MA • On-site

$194.70 - $354.70/hr

Other

Medical, Dental, Retirement

Re-posted 21 hours ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th 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