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Machine Learning Research Intern Jobs in Roxbury, MA

They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize machine learning systems that power their antibody design platform and advance protein design ...

They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize machine learning systems for their antibody design platform and advance protein design capabilities.

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Machine Learning Research Intern information

See Roxbury, MA salary details

$27.7K

$46.2K

$95.5K

How much do machine learning research intern jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning research intern in Roxbury, MA is $46,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $49,900.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Roxbury, MA?

For Machine Learning Research Intern jobs in Roxbury, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Roxbury, MA look for?

The top searched job categories for Machine Learning Research Intern jobs in Roxbury, MA are:

What cities near Roxbury, MA are hiring for Machine Learning Research Intern jobs?

Cities near Roxbury, MA with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Roxbury, 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 $46,214 per year, or $22.2 per hour.

Machine Learning Engineer - Health AIML

Apple Inc.

Cambridge, MA • On-site

$250/hr

Other

Medical, Dental, Retirement

Re-posted 28 days 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