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Junior Machine Learning Engineer Jobs in Lewiston, ME

Water Resources Engineer

Westbrook, ME · Hybrid

$110K - $140K/yr

Mentor junior staff in both technical and professional aspects * Responsible for project task ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

Water Resources Engineer

Augusta, ME · Hybrid

$110K - $140K/yr

Mentor junior staff in both technical and professional aspects * Responsible for project task ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

Technical Lead, Data Analytics

Portland, ME · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Modern data engineering and cloud architecture * Data governance or data quality initiatives * AI or machine learning technologies At Arkatechture, you'll work alongside curious, collaborative people ...

Mechanical Assembly Technician

Westbrook, ME · On-site

$28 - $33/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Help train and mentor junior Mechanical Technicians on the team. * Maintain a safe, organized work ... Ability to read and interpret engineering drawings and documentation. * Familiarity with machining ...

Mechanical Assembly Technician

Westbrook, ME · On-site

$28 - $33/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Help train and mentor junior Mechanical Technicians on the team. * Maintain a safe, organized work ... Ability to read and interpret engineering drawings and documentation. * Familiarity with machining ...

Showing results 41-60

Junior Machine Learning Engineer information

See Lewiston, ME salary details

$35.7K

$76.5K

$116.6K

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

As of Aug 19, 2026, the average yearly pay for junior machine learning engineer in Lewiston, ME is $76,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $85,200.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities near Lewiston, ME are hiring for Junior Machine Learning Engineer jobs?

Cities near Lewiston, ME with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Lewiston, ME as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,464 per year, or $36.8 per hour.

Engineering/Science Postdoctoral Fellow

Northeastern University

Portland, ME • On-site

$50K - $68K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


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.