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Internship Graduate Machine Learning Jobs in Williamstown, MA

Internship Graduate Machine Learning information

See Williamstown, MA salary details

$25.3K

$42.3K

$87.3K

How much do internship graduate machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for internship graduate machine learning 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 is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

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

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

College Intern - Innovation & AI Cohort - Fall 2026 (Multiple Openings)

Lthc

Albany, NY

$21 - $23/hr

Part-time

Medical, Dental, Retirement

Posted yesterday

New


Job description

Job Description:

Job Description

Summary:

Fall 2026 Internship

The Fall College Internship Program is a paid co-op/internship experience that provides undergraduate and graduate students the opportunity to attend development workshops, network, and be part of our company. Our college interns work on meaningful projects, are mentored under their respective managers, and continue to develop throughout the entire fall. In addition, through the internship program, our interns can attend development workshops that are focused on key business concept. Interns may work within the skills-based tracks of Information Technology, Business Administration, Actuarial, Human Resources, Analytics & Data, Communications, Finance, Marketing & Sales, Project Management, Clinical Studies, Customer Experience, Digital Operations, and other non-technical and/or technical based degree programs.

  • This is a paid internship/co-op.
  • May reside in either a technical or non-technical area.
  • Housing is not provided as part of our internships/co-ops.

Essential Accountabilities:

  • Specific duties will vary with assignment; specific divisional callouts are listed below.
  • The Fall Innovation & AI Interns will support the development of an enterprise AI-powered Appeals & Grievances solution being developed in partnership with the Advocacy organization. This initiative aligns directly with the Innovation & AI Center of Excellence strategy to improve operational efficiency, reduce administrative burden, accelerate decision-making, and scale AI capabilities across core healthcare operations. The project focuses on transforming a highly manual, document-intensive workflow into a streamlined, AI-assisted process that supports intake, case preparation, clinical review, decision support, and member communications. Current work completed by the Summer 2026 Innovation & AI cohort has demonstrated opportunities to improve case review and decision support, with expansion into upstream intake, routing, case preparation, and downstream notification workflows.
  • Works with a mentor and supports key strategic projects.
  • Responsible for work assignments and possible responsibilities that vary according to business need and departmental opportunities, in addition to student's qualifications.
  • Functions performed are non-technical and/or technical in nature and will cover a broad range of business-related projects.
  • Creates and delivers presentation at completion of internship.
  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.
  • Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.
  • Regular and reliable attendance is expected and required.
  • Performs other functions as assigned by management.

Minimum Qualifications:

  • Desired majors include Software Engineering, Mathematics, Statistics, Computer Science, Data Science or similar degree programs.
  • Preferred skills or experience with: Artificial Intelligence, Machine Learning, and/or Databricks.
  • High School diploma along with proof of continuous college enrollment (enrolled in a full-time undergraduate or graduate degree program).
  • Must be in good academic standing.
  • Excellent communication skills both verbal and written with the ability to communicate to technical and non-technical audiences and interface with staff at all levels of the company.
  • Ability to work in a fast-paced changing environment and deliver high-quality work product.
  • Ability to work well in a team establishing good working relationships with peers.
  • Ability to multitask and prioritize tasks with a strong attention to detail.
  • Experience using a desktop computer in a professional environment.
  • Experience with Microsoft Office Suite.
  • Demonstrates strong organizational and prioritization skills.
  • Strong analytical and problem-solving skills.
  • Proactive approach to work, displaying creativity and flexibility in completing assigned tasks.
  • Commitment to continuous improvement of skills and team functioning.
  • Must be self-motivated and able to work independently, as well as on intra- and inter- departmental teams where needed.

Physical Requirements:

  • Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.
  • Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I - Minimum $18.00 - Maximum $20.00

Levell II - Minimum $21.00 - Maximum $23.00

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.