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Entry Level Machine Learning Engineer Jobs in Salem, 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 ...

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 ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will ...

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

About the role You'll be the founding ML engineer who owns our matching algorithms from exploration ... Real ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not ...

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Showing results 1-20

Entry Level Machine Learning Engineer information

See Salem, MA salary details

$32.8K

$75.8K

$128.9K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for entry level machine learning engineer in Salem, MA is $75,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $85,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Salem, MA? The most popular types of Machine Learning Engineer jobs in Salem, MA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Salem, MA? For Entry Level Machine Learning Engineer jobs in Salem, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Salem, MA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Salem, MA are:
What cities near Salem, MA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Salem, MA with the most Entry Level Machine Learning Engineer job openings:
Software Machine Learning Engineer

Software Machine Learning Engineer

Teradyne

Reading, MA • On-site

$116K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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.