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Machine Learning Developer Intern Jobs in Williamstown, MA

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following ... Develop, train, and deploy machine learning and deep learning models for classification, prediction ...

Pearson

Lead Specialist, AI Scientist

Albany, NY · On-site

This role bridges AI research, data science, software engineering, and product delivery. The successful candidate will lead the development of machine learning, Generative AI, LLM, agentic AI, and ...

New

Versant Health

Senior Data Scientist

Troy, NY · On-site

... engineering, or related field required. * 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments. * Required: Prior ...

Versant Health, Inc.

Senior Data Scientist

Troy, NY · On-site

... engineering, or related field required. * 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data ‑ rich environments. * Required: Prior ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Williamstown, MA

Machine Learning Developer Intern information

See Williamstown, MA salary details

$25.3K

$42.3K

$87.3K

How much do machine learning developer intern jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning developer intern in Williamstown, MA is $42,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Machine Learning Developer Intern jobs near you

Machine Learning/AI Engineer

Albany, NY • On-site

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

Other

Posted 15 days ago

Job description

Role: Machine Learning/AI Engineers

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary:

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We’re not just a software consulting company – we’re a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we’re on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

Expertise

We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence

Our diverse employee workforce spans four continents.

Proven Track Record

Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We’ll Guide You

We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top‑tier solutions to our end clients.

Teaching and Development

An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Custom Support

Project Placement: A market‑expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth

We facilitate industry experience to propel your technical journey forward.

Key Responsibilities
  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Lead cross‑functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
What You’ll Bring
  • Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
  • Software engineering and/or Data Engineering background, especially in one of the major clouds.
  • Hands‑on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks
  • Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
Perks and Beyond!

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

Support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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