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Junior Machine Learning Engineer Jobs in Massachusetts

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Machine Learning Engineer

Boston, MA · On-site

$136.32 - $225.09/hr

## Machine Learning EngineerApplyremote type: Hybridlocations: Bostontime type: Full timeposted on ... Apply standard software engineering practices, including version control, code reviews, and ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and ...

Senior Machine Learning Engineer

Andover, MA · On-site

$105K - $145K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Mentor junior engineers and champion engineering excellence in ML research and development ... Industry or academic experience developing and optimizing deep learning algorithms in one or more ...

Showing results 41-60

Junior Machine Learning Engineer information

See Massachusetts salary details

$36.6K

$78.4K

$119.6K

How much do junior machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior machine learning engineer in Massachusetts is $78,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $87,400.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Massachusetts? The most popular types of Machine Learning Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Junior Machine Learning Engineer jobs? Cities in Massachusetts with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,414 per year, or $37.7 per hour.

Founding Machine Learning Engineer

Onescreen

Boston, MA • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Onescreen is a modern platform for out-of-home advertising, focused on streamlining the planning, buying, and measuring of OOH campaigns. They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms and the data platform that supports them, along with designing and shipping models that optimize OOH inventory rankings.
Responsibilities:
• Design and ship matching and ranking models for OOH inventory: candidate generation, re-ranking, geospatial-aware scoring.
• Own the data warehouse layer end to end: staging, marts, feature pipelines, freshness, lineage.
• Stand up offline and online evaluation infrastructure — measure the gap between them, don't assume it.
• Publish ranking and matching APIs for product surfaces, with latency and quality SLOs.
• Instrument model monitoring: drift detection, prediction distribution, feature freshness, retraining triggers.
Qualifications:
Required:
• you have owned a production ranking, matching, or recommendation system end-to-end
• Strong production Python (NumPy, Pandas, FastAPI, SQLAlchemy)
• Strong SQL and modern data warehouse experience (BigQuery preferred)
• Real ranking and matching modeling fluency — learning-to-rank, retrieval and re-rank patterns, not just classification
• Evaluation methodology rigor: holdouts, leakage prevention, online vs. offline gap measurement
• Comfort owning the data pipeline as well as the model
• Bias toward shipping. Clear writer. Self-directed.
Preferred:
• Geospatial data experience (H3, PostGIS, GeoPandas)
• Mobility or location data experience
• Embedding-based retrieval (pgvector, FAISS, vector databases)
• Bandits, contextual bandits, or online learning
• A/B testing infrastructure design
• Causal inference
• dbt
• Ad-tech or OOH domain familiarity
Company:
Onescreen is the modern partner for out-of-home advertising. Founded in 2020, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.