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Entry Level Machine Learning Engineer Jobs in Plymouth, MA

Campers Inn RV

Entry Level Technician

Raynham, MA · On-site

$22 - $25/hr

With our in-house technician training program, you will be learning valuable on the job skills ... machinery * Assist in inspecting and testing for defective equipment to diagnose malfunctions

H Loeb Corp

CNC Operator

New Bedford, MA · On-site

$21 - $24/hr

Maintain machines, keep your workspace clean, manage dust collection. * Stop the machine when ... VCarve, Artpath, or Composer programming experience (Level 2 plus). * Construction or trades ...

H Loeb Corp

CNC Operator

New Bedford, MA · On-site

Maintain machines, keep your workspace clean, manage dust collection. * Stop the machine when ... VCarve, Artpath, or Composer programming experience (Level 2 plus). * Construction or trades ...

Aerotek

Deburrer

Plymouth, MA

$19/hr

Job Title: Entry-Level Deburrer The Entry-Level Deburrer plays a key role in a medical ... Follow detailed work instructions, engineering drawings, and manufacturing procedures to complete ...

New

Tech Etch

Maintenance Mechanic

Plymouth, MA

$23 - $34.55/hr

WHAT YOU'LL DO: * Maintain and repair production machines and facility equipment, ensuring ... Why Join Tech Etch? At Tech Etch, we engineer precision components that power the medical ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Plymouth, MA

Entry Level Machine Learning Engineer information

See Plymouth, MA salary details

$32.6K

$75.5K

$128.4K

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

As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Plymouth, MA is $75,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $85,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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?

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 job categories do people searching Entry Level Machine Learning Engineer jobs in Plymouth, MA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Plymouth, MA are:
What cities near Plymouth, MA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Plymouth, MA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Plymouth, MA as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $75,474 per year, or $36.3 per hour.

Postdoctoral Investigator in Plankton Ecology and Trophic Dynamics

Woods Hole Oceanographic Institution

Woods Hole, MA • On-site

$68K - $75K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary
A Postdoctoral Investigator (PDI) position is available in the Biology Department at the Woods Hole Oceanographic Institution (WHOI) to study environmental impacts on plankton food webs and trophic dynamics in the Northwest Atlantic ocean ecosystem. The successful candidate will join an interdisciplinary research program focused on understanding how physical oceanographic variability influences plankton communities and the transfer of energy to higher trophic levels, including forage fish, marine mammals, and endangered North Atlantic right whales. The projects integrate long-term observations, ocean observing systems, statistical analyses, and ecosystem modeling to improve understanding and prediction of ecosystem variability across seasonal to decadal time scales.
Job Description
Responsibilities
The PDI will contribute to several ongoing projects examining multi-trophic ecosystem variability in the Northwest Atlantic Ocean. Responsibilities may include:
  • Analysis and synthesis of long-term plankton and oceanographic datasets from observational programs and model outputs;
  • Development of statistical and machine-learning approaches (e.g., GAMs, Random Forests, synchrony analyses);
  • Investigation of plankton population dynamics and trophic transfer;
  • Participation in coupled physical-biological modeling and connectivity analyses;
  • Preparation of peer-reviewed publications and conference presentations;
  • Contributing to proposal development and collaborative research initiatives involving federal agencies, regional research programs, and academic partners.

The position provides opportunities to work with a broad interdisciplinary network of collaborators involved in ecosystem observation and assessment, biological-physical interactions, and ecosystem forecasting across the Northwest Atlantic ecosystem.
Qualifications
Applicants should have:
  • A Ph.D. in biological oceanography, marine ecology, oceanography, ecology, environmental science, or a related field;
  • Experience working on plankton ecology and pelagic ecosystem dynamics (preferred);
  • Strong quantitative and analytical skills, with preference for experience in coupled physical-biological modeling, statistical analyses, and/or machine-learning approaches; Experience working with ecological or oceanographic datasets is preferred;
  • Proficiency in scientific programming and data analysis (e.g., R, Python, MATLAB);
  • A demonstrated record of peer-reviewed scientific publication; and
  • The ability to work effectively in interdisciplinary collaborative environments.

Appointment
This is a two-year position based in the Biology Department at Woods Hole Oceanographic Institution, with the expectation that the successful candidate will work on site. Continuation into the second year is contingent upon satisfactory performance and the availability of funding.
Review of applications will begin on July 15, 2026, and continue until the position is filled. The tentative start date is September 1, 2026.
Application Materials
Applicants should submit: 1) A cover letter describing research interests and relevant experience; 2) Curriculum vitae; and 3) Contact information for three references.
Interested candidates should contact Dr. Rubao Ji (rji@whoi.edu) for additional information. Applications should be submitted through the WHOI Careers website: https://careers.whoi.edu.
Additional Job Requirements
Additional Job Requirements
Salary Range: $68,381-$75,498
The salary range provided for this position reflects the expected minimum and maximum base pay for new hires. Actual compensation will be determined based on factors such as relevant skills, experience, and qualifications, as well as internal equity and market conditions. In addition to base salary, eligible employees also receive a comprehensive benefits package.
WHOI accepts applications on a rolling basis - applications will be reviewed as they are received, and we encourage you to submit your application as soon as possible to ensure full consideration. While we will continue to review applications until the position is filled, and early applicants may have an advantage in the selection process.
EEO Statement
Woods Hole Oceanographic Institution (WHOI) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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