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Apprentice Machine Learning Testing Jobs in Maine

United Support Services

Pipefitter

Kittery, ME · On-site

$32.37 - $33.37/hr

Perform fabrication, assembly and testing of piping systems and components. Involves heavy lifting ... Threading pipe with stocks and dies, bending pipe by hand-driven or power-driven machines.

United Support Services

Pipefitter

Kittery, ME

$32.37 - $33.37/hr

Perform fabrication, assembly and testing of piping systems and components. Involves heavy lifting ... Threading pipe with stocks and dies, bending pipe by hand-driven or power-driven machines.

H.C. Starck Solutions

Controls Technician

Lewiston, ME · On-site

$80K - $100K/yr

... new equipment installations, machine upgrades, control panel fabrication, electrical ... learning automation technologies • Experience using electrical testing equipment and working ...

ELMET TECHNOLOGIES LLC

Controls Technician

Lewiston, ME · On-site

$80K - $100K/yr

Support new equipment installations, machine commissioning, and automation system startups ... continue learning automation technologies * Experience using electrical testing equipment and ...

ELMET TECHNOLOGIES LLC

Controls Technician

Lewiston, ME · On-site

$80K - $100K/yr

... new equipment installations, machine upgrades, control panel fabrication, electrical ... learning automation technologies Experience using electrical testing equipment and working safely ...

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Apprentice Machine Learning Testing information

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Maine?

For Apprentice Machine Learning Testing jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Maine look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Maine are:

What cities in Maine are hiring for Apprentice Machine Learning Testing jobs?

Cities in Maine with the most Apprentice Machine Learning Testing job openings:

Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Engineering/Science Postdoctoral Fellow

NorthEastern

Portland, ME

$50K - $68K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

About the Opportunity

About the Roux Institute

The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high-growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.

Job Summary

The Postdoctoral Research Associate will engage in both fundamental and applied research in the field of advanced manufacturing, with direct relevance to aerospace lightweighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands-on laboratory investigations.

Key responsibilities include generating high-impact scientific publications and technical reports, contributing to additive manufacturing workforce development programs, and mentoring undergraduate and graduate students engaged in related projects. The Fellow will work in close collaboration with Professor Andrew Neils on the Roux Institute's Engineering team at both the Portland, ME and Brunswick, ME campuses.

This position will support several projects funded by the U.S. Department of Defense. Background checks and other clearances may apply.

Minimum Qualifications

Required

  • Ph.D. earned in mechanical engineering, materials science, physics, or a closely related discipline.
  • Demonstrated expertise in the characterization and testing of crystalline materials, including metals and ceramics.
  • Strong background in additive manufacturing processes and the mechanics of materials.
  • Ability to work both independently and as part of a multidisciplinary team.

Preferred

  • Familiarity with data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning.

Key Responsibilities & Accountabilities

1. Initiate, Execute, and Complete Advanced Manufacturing Related Research and Training Programs (50%)

  • Design and execute experimental investigations into process-structure-property relationships for advanced engineering materials (e.g., high temperature refractory alloys and their coatings).
  • Develop curriculum and deliver hands-on cold spray additive manufacturing training and lab technician instruction as part of active Department of Defense workforce development programs.
  • Operate cold spray additive manufacturing systems, with occasional contributions to powder bed fusion and directed energy deposition programs.
  • Collect process and property data and develop data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python.
  • Develop physics-based computational models (e.g., finite element analysis) to complement and contextualize experimental findings.
  • Apply CAD tools such as ANSYS and SolidWorks to produce geometric models for experimental specimens, including metamaterial and lattice structures as needed.

2. Prepare and Write Technical Reports and Manuscripts for Peer Review (25%)

  • Lead technical writing of sponsored program reports.
  • Lead or contribute to three or more peer-reviewed publication submissions per year.

3. Mentoring, Collaboration, and Support (25%)

  • Mentor and train undergraduate and graduate students.
  • Support Roux Engineering team proposal development.
  • Perform lab management duties as needed.
  • Support Roux external industry and academic collaborations.
About the Roux Institute

The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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