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Junior Machine Learning Engineer Jobs in Jefferson, MA

DSP Engineer - Audio Tech

Framingham, MA

$147K - $171K/yr

  • Medical

  • Retirement

This role is well suited for a junior-to-mid level engineer who enjoys applying strong DSP ... Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise ...

DSP Engineer - Audio Tech

Framingham, MA · On-site

$147K - $171K/yr

  • Medical

  • Retirement

This role is well suited for a junior-to-mid level engineer who enjoys applying strong DSP ... Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements: Interest in artificial intelligence, image ...

AI Annotator Intern

Sudbury, MA

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

Sr. Analyst, Data Engineering Data Engineering is the practice of designing, building, and ... You will help enable trusted, high-quality data to support analytics, reporting, machine learning ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

  • Medical

  • Retirement

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

  • Medical

  • Retirement

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Post-Doctoral Fellow

Worcester, MA · On-site

$65K - $75K/yr

Substantial training in and knowledge of machine learning techniques and strong programming skills. * Effective communication in English, both orally and in writing, and ability to interact with ...

Principal Software Engineer

Sudbury, MA · On-site

$141K - $189K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) DICOM / PACS ... Engineering Experience with building embedded software in medical, scientific, and/or analytical ...

Senior Software Engineer

Sudbury, MA · On-site

$128K - $168K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) DICOM / PACS ... Engineering Experience with building embedded software in medical, scientific, and/or analytical ...

Senior Software Engineer

Sudbury, MA · On-site

$128K - $168K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) · DICOM / PACS ... Engineering · Experience with building embedded software in medical, scientific, and/or analytical ...

Principal Software Engineer

Sudbury, MA · On-site

$141K - $189K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) · DICOM / PACS ... Engineering · Experience with building embedded software in medical, scientific, and/or analytical ...

Showing results 41-60

Junior Machine Learning Engineer information

See Jefferson, MA salary details

$35.8K

$76.6K

$116.9K

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 Jefferson, MA is $76,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $85,400.00 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 Jefferson, MA are hiring for Junior Machine Learning Engineer jobs?

Cities near Jefferson, MA with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Jefferson, MA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 26% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $76,644 per year, or $36.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Worcester, MA • On-site

Other

Re-posted 28 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.