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Applied Machine Learning Intern Jobs in Cambridge, MA

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 ...

If you care about impact and want to help define the future of applied AI in healthcare, we'd love ... Requirements * 4+ years building and deploying machine learning systems in production, ideally with ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical ...

Machine Learning Engineer

Woburn, MA · On-site

$115 - $140/hr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical ...

Showing results 41-60

Applied Machine Learning Intern information

See Cambridge, MA salary details

$27.9K

$46.5K

$96.2K

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 Cambridge, MA is $46,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 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 are popular job titles related to Applied Machine Learning Intern jobs in Cambridge, MA? For Applied Machine Learning Intern jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning Intern jobs in Cambridge, MA look for? The top searched job categories for Applied Machine Learning Intern jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Applied Machine Learning Intern jobs? Cities near Cambridge, MA with the most Applied Machine Learning Intern job openings:

Software Machine Learning Engineer

Teradyne

Reading, MA • On-site

$116K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Our Purpose
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
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 interpretable AI.
You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership.
  • Design and implement pipelines for training, evaluation, and deployment of ML models.
  • Apply graph ML methods to model relationships in structured and unstructured data.
  • Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks.
  • Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems.
  • Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems.
  • Assist in defining evaluation metrics and validation strategies for ML models.
  • Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions.
  • Contribute to improving ML infrastructure, tooling, and best practices.
  • Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.

All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.
  • 2+ years of experience in machine learning, applied AI, or related fields.
  • Hands-on experience building and deploying ML models.
  • Exposure to production ML systems (MLOps, monitoring, deployment) is desirable.
  • Ability to work collaboratively across teams.Strong analytical and problem-solving skills.
  • Basic understanding of software engineering practices and version control.
  • Ability to work cross-functionally with product, software, and hardware teams.
  • Strong communication skills; comfortable engaging directly with customers and stakeholders.
  • Strong problem-solving and reasoning skills
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent industry experience).

We are only considering candidates local to position location and are unable to provide relocation for this position.
Compensation:
The base salary range for this role is $116,500-$186,400. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.
Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.
Benefits:
Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.