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Internship Machine Learning Compiler Engineer Jobs in Waltham, MA

Software Machine Learning Engineer

Reading, MA · On-site

$116.50 - $186.40/hr

Software Machine Learning Engineer Location: North Reading, MA, US Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Internship Machine Learning Compiler Engineer information

See Waltham, MA salary details

$27.5K

$45.9K

$94.9K

How much do internship machine learning compiler engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for internship machine learning compiler engineer in Waltham, MA is $45,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,600.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Compiler Engineer vs Internship Software Engineer?

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

What are popular job titles related to Internship Machine Learning Compiler Engineer jobs in Waltham, MA? For Internship Machine Learning Compiler Engineer jobs in Waltham, MA, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Compiler Engineer jobs in Waltham, MA look for? The top searched job categories for Internship Machine Learning Compiler Engineer jobs in Waltham, MA are:
Infographic showing various Internship Machine Learning Compiler Engineer job openings in Waltham, MA as of June 2026, with employment types broken down into 4% As Needed, 59% Full Time, 24% Part Time, 9% Contract, and 4% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,941 per year, or $22.1 per hour.

Software Machine Learning Engineer

Teradyne

Reading, MA • On-site

$116.50 - $186.40/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Software Machine Learning Engineer

Location: North Reading, MA, US

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.

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.

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