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Machine Learning Engineer Associate Jobs in Gardner, MA

Senior HPC and Quantum Systems Engineer

Westford, MA ยท Hybrid

$108K - $148K/yr

Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.

ASSOCIATE ENGINEER / DRAFTER DEPARTMENT: ENGINEERING JOB TYPE: FULL-TIME, EXEMPT REPORTS TO ... We embrace Continuous Learning. We lead with Design. We create Value. We work to make the World ...

... Engineering - NFR JM DIVISION NAME Worcester Polytechnic Institute - WPI SUMMARY The Department of ... and Machine Learning (AI). We are especially interested in applicants with strong CFD experience ...

Senior Maintenance Engineer

Leominster, MA ยท On-site

$108K - $148K/yr

Support the team with the maintenance of all manufacturing equipment and machinery. * Develop and ... We embrace Continuous Learning. We lead with Design. We create Value. We work to make the World ...

Showing results 41-60

Machine Learning Engineer Associate information

See Gardner, MA salary details

$44K

$87.5K

$139.8K

How much do machine learning engineer associate jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer associate in Gardner, MA is $87,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $100,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What cities near Gardner, MA are hiring for Machine Learning Engineer Associate jobs?

Cities near Gardner, MA with the most Machine Learning Engineer Associate job openings:

Infographic showing various Machine Learning Engineer Associate job openings in Gardner, MA as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $87,549 per year, or $42.1 per hour.

Temporary Research Technician in ML in Healthcare

Worcester Polytech

Worcester, MA โ€ข Hybrid

$20/hr

Full-time

Re-posted 2 days ago


Job description

JOB TITLE

Temporary Research Technician in ML in Healthcare

LOCATION

Worcester

DEPARTMENT NAME

Biomedical Engineering - JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

Professor Zhenglun Alan Wei is seeking to fill Temporary Research Technician positions in ML in Healthcare.

JOB DESCRIPTION

Key Responsibilities:
Apply machine learning algorithms to problems in fluid mechanics, medical imaging, and related domains.
Design, develop, and enhance research websites and web-based applications.
Collaborate with multidisciplinary teams to carry out research activities within the scope of funded projects.
Publish research findings, methodologies, and algorithms in leading conferences and high-impact journals.
Contribute to innovation-driven technological projects with strong potential for commercialization.
Qualifications:
Bachelor's degree (B.S.) in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications:

  • Proficiency in programming languages such as Python, JAX, PHP, or similar.
  • Previous experience working in a university-level research lab or academic environment.

Special Instructions to Applicants:

  • Applications will be reviewed on a rolling basis and accepted until the position is filled. The posting may close once a sufficient number of qualified applications has been received.
  • Please include a resume with your application.
  • Names and contact information for references will be required.
  • While optional, a cover letter is encouraged, especially for candidates who meet preferred qualifications.

Compensation:

Hourly Pay: $20.00 per hour. This is a temporary hybrid 20 - 40 hrs per week position.

FLSA STATUS

United States of America (Non-Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.