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Applied Machine Learning Intern Jobs in Clinton, MA

Cognex

Senior Machine Learning Engineer

Natick, MA · On-site

$115K - $225K/yr

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... applied research roles. Cognex believes in fair and equitable pay. A reasonable estimate of the ...

3ds

INTERNSHIP: AI for CFD

Waltham, MA · On-site

The intern will collaborate closely with software developers, AI engineers, and product managers to ... Validate machine learning surrogate models against high-fidelity CFD simulations and experimental ...

NorthEastern

Sr Research Scientist

Burlington, MA

$107K - $136K/yr

... on machine learning and AI systems development (research, applied R&D, or production environments). Preferred * Advanced degree (M.S. or Ph.D.) with applied ML/AI, network science, optimization, or ...

NorthEastern

Senior Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

... on machine learning and AI systems development (research, applied R&D, or production environments). Preferred * Advanced degree (M.S. or Ph.D.) with applied ML/AI, network science, optimization, or ...

Northeastern University

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

... on machine learning and AI systems development (research, applied R&D, or production environments). Preferred * Advanced degree (M.S. or Ph.D.) with applied ML/AI, network science, optimization, or ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

... such as applied math, physics, electrical engineering, computer science, or data science • ... deep learning tools (e.g., PyTorch, JAX, TensorFlow) • Ability to perform experiment design ...

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Showing results 21-40

All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Clinton, MA

Applied Machine Learning Intern information

See Clinton, MA salary details

$28K

$46.7K

$96.5K

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

As of Aug 12, 2026, the average yearly pay for applied machine learning intern in Clinton, MA is $46,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,400.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What job categories do people searching Applied Machine Learning Intern jobs in Clinton, MA look for? The top searched job categories for Applied Machine Learning Intern jobs in Clinton, MA are:
What cities near Clinton, MA are hiring for Applied Machine Learning Intern jobs? Cities near Clinton, MA with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Clinton, MA as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,677 per year, or $22.4 per hour.

Lead Research Scientist - Machine Learning (Clearance Required)

STR

Woburn, MA • On-site

$174K - $220K/yr

Full-time

Re-posted 8 days ago

Job description

About the Team

STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Lead Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities, participate on and lead project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.

Who you are:

  • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
  • MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
  • Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
  • Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
  • Proficiency in one or more programming languages: Python, C/C++
  • Able to work, collaborate on, and lead multi-disciplinary teams
  • Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
  • Experience in intelligence or military-related mission areas

Even better:

  • Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
  • Experience with self-supervised machine learning
  • Expertise working with time series, geospatial, and/or spatio-temporal data

Pay Information
Full-Time Salary Range: $174,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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