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Junior Machine Learning Jobs in Boston, MA (NOW HIRING)

Jj

Staff AI/ML Software Engr, Navigation

Boston, MA · On-site

Collaborate in Agile/Scrum workflows, mentor junior engineers, and lead design/code reviews to sustain longterm maintainability. Required Qualifications and Experience: * BS/MS in Machine Learning ...

Amazon

Applied Scientist II - AMZ27496.1

Boston, MA · On-site

$161K - $193K/yr

... for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply ... Mentor junior engineers and scientists. (40 hours / week, 8:00am-5:00pm, Salary Range $161803 ...

Deloitte

Lead Generative AI Data Engineer III

Boston, MA · On-site

$111K - $146K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

Deloitte

Senior AI Engineer - SFL Scientific

Boston, MA · On-site

$113K - $155K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

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Junior Machine Learning information

See Boston, MA salary details

$8

$29

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How much do junior machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for junior machine learning in Boston, MA is $29.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $36.06 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

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

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

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

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

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

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

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

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $60,913 per year, or $29.3 per hour.

Staff AI/ML Software Engr, Navigation

Jj

Boston, MA • On-site

Full-time

Retirement, PTO

Re-posted 16 days ago

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Software/Systems Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Boston, Massachusetts, United States of America, Warsaw, Indiana, United States of America

Job Description:

About Orthopaedics

Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that's reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

We are hiring for Staff AI/ML Software Engineer in a hybrid role to be based out of Warsaw, IN or Boston, MA.

Purpose:

As a Staff AI/ML Software Engineer in the Navigation R&D team, you will architect, plan and lead the AI/ML development and integration for nextgeneration surgical navigation and planning systems. You'll collaborate closely with a cross-functional team of software, systems, hardware, firmware, quality, and regulatory partners to deliver safe, reliable, and scalable software that directly impacts patient outcomes.

Job Responsibilities:

  • Be a key contributor in the evolution of DePuy Synthes' AI/ML platform for flexible machine learning model training, fine-tuning, transformation and evaluation use cases across various surgical navigation initiatives.
  • Participate in product planning sessions to accurately define development timelines.
  • Build production ready, ondevice and cloud-based, AI/ML systems with real clinical impacts to our customers.
  • Mentor junior AI/ML software engineers.
  • Drive model improvements using the latest techniques and approaches for evaluation and tuning.
  • Contribute to regulatory documentation, traceability, and V&V aligned with IEC 62304, ISO 14971, and related guidance; support submissions (e.g., FDA 510(k)) as needed.
  • Collaborate in Agile/Scrum workflows, mentor junior engineers, and lead design/code reviews to sustain longterm maintainability.

Required Qualifications and Experience:

  • BS/MS in Machine Learning, Artificial Intelligence, Computer Science, Computer Engineering, or a related field
  • 8+ years of experience in machine learning engineering (or equivalent)
  • Highly proficient in Python
  • Strong AI/ML fundamentals - Strong grounding in supervised and unsupervised learning, model section, cross-validation, and evaluation metrics
  • Hands-on experience developing machine learning models using various input data types (static images, point clouds, numerical data, textual data, etc.)
  • Demonstratable experience and deep knowledge of ML frameworks such as Tensorflow, Keras, Pytorch, scikit-learn, etc.
  • Demonstratable expertise in ML model training/optimization, local/cloud (AWS Sagemaker, Azure Studio)
  • Experience developing AI systems in regulated environments (e.g., SaMD), such as surgical, medical imaging, or healthcare-related ML/AI applications, with attention to traceability, validation, and auditability.
  • Excellent ability to author technical documentation for AI/ML training and implementations.
  • Proficiency across the full SDLC in a regulated environment: requirements, design, implementation, testing, traceability, release, and maintenance.
  • Excellent communication, collaboration, and influence skills; ability to lead architecture and design reviews.

Preferred Qualifications

  • Demonstrated experience in applying multiple types of AI technologies to products beyond traditional Machine Learning (Agentic AI, Generative AI, LLMs) (Big plus)
  • Experience with on-device and cloud-based AI/ML implementations.
  • Experience with AI-driven development and testing.
  • Demonstratable experience with one or more object-oriented programming languages.
  • Experience with requirements, design documentation in tools like Polarion, JAMA, etc.

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone Orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against based on disability.

For more information on how we support the whole health of our employees throughout their wellness, career, and life journey, please visit www.careers.jnj.com

#LI-PN2

Required Skills:

Preferred Skills:

Agility Jumps, Analytical Reasoning, Coaching, Collaboration, Critical Thinking, Model-Based Systems Engineering (MBSE), Product Design, Report Writing, Requirements Analysis, Research and Development, SAP Product Lifecycle Management, Scripting Languages, Software Architectures, Software Development Management, Software Engineering Practices, Software Quality Assurance (SQA), Systems Development Lifecycle (SDLC), Technologically Savvy

The anticipated base pay range for this position is :

$109,000.00 - $174,800.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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