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Internship Machine Learning Engineer Jobs in Williamstown, MA

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 ...

Full Stack Agentic AI Engineer

Albany, NY · On-site

$87 - $294/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 7 years of experience as a full stack AI or machine learning engineer or scientist, working with AI / ML models in production at scale, including monitoring, alerting, bug fixing and ...

New

Sr Data Scientist

Albany, NY · On-site

$85 - $95/hr

  • Medical

  • Retirement

  • PTO

Strong proficiency in Python, SQL, and common machine learning frameworks and libraries. * Experience with end‑to‑end model lifecycle management, including data preparation, feature engineering ...

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Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Position Title: Sr. Data Engineer Location: Fully Remote Duration: 6 months (strong chance of ... Experience in working with data science and machine learning models and frameworks * Previous ...

Senior Data Scientist

Troy, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Senior Data Scientist

Troy, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Senior Data Scientist

Troy, NY · On-site

$150 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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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Sr P&C Data Scientist

Albany, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R) * Experience working with large, complex datasets and applying statistical or machine learning methods to ...

Google Senior Data Engineer

Albany, NY · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Metrology Engineer

Albany, NY · On-site

$110 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Summary, Metrology Engineer NY Creates is seeking a highly skilled Semiconductor Metrology ... Exposure to machine learning applications in metrology or process control * Strong communication ...

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Carrier Voice Engineer

Albany, NY · On-site

$75 - $95/hr

... Voice Engineer to secure, support, and optimize carrier-grade voice services across wireline ... Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat ...

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Showing results 1-20

Internship Machine Learning Engineer information

See Williamstown, MA salary details

$25.3K

$42.3K

$87.3K

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

As of Aug 19, 2026, the average yearly pay for internship machine learning engineer 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 an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

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

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What cities near Williamstown, MA are hiring for Internship Machine Learning Engineer jobs?

Cities near Williamstown, MA with the most Internship Machine Learning Engineer job openings:

Infographic showing various Internship Machine Learning Engineer job openings in Williamstown, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,267 per year, or $20.3 per hour.

Machine Learning Senior Software Engineer

Akamai Technologies, Inc.

Albany, NY • On-site

$121 - $219/hr

Other

Medical, Retirement, PTO

Posted yesterday

New


Akamai Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

123rd of 245 rated software companies


Job description

Do you want to shape how AI models are validated, optimized, and deployed at global scale? Are you passionate about building the systems that ensure AI models perform reliably and responsibly in production Join the Akamai Inference Cloud Team!

The Akamai Inference Cloud (AIC) team is part of Akamai's Cloud Technology Group. We design and operate AI platforms enabling customers to run models with unmatched performance, compliance, and economics. This team owns the end-to-end model lifecyclefrom validation and security scanning through quantization, optimization, and monitoring. We ensure every model meets rigorous standards for quality, safety, and performance.

Partner with the best

As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models for vulnerabilities, apply quantization and optimization techniques, and build guardrails that enforce safety and compliance policies. This role requires hands-on ML experience and deep understanding of modern architectures, inference optimization, and responsible

AI.

#AIC

As a Machine Learning Senior Software Engineer, you will be responsible for:

  • Developing and maintaining model validation and security scanning pipelines that assess models for quality, correctness, and vulnerabilities prior to deployment

  • Implementing quantization, pruning, and other optimization techniques to reduce model footprint and improve inference latency across diverse hardwareconfigurations

  • Building guardrail and content safety systems that enforce compliance policies and mitigate risks such as jail breaking and prompt injection

  • Designing model routing and prompt management infrastructure that supports intelligent request handling across model variants

  • Contributing to model evaluation frameworks that measure accuracy, performance, and safety metrics across the model lifecycle

Do what you love

To be successful in this role you will:

  • Have 5 years of relevant experience and a Bachelor's/Master's degree in Computer Science, Machine Learning, or a related field

  • Demonstrate hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX, including model training, fine-tuning, and inference optimization

  • Show proficiency in model quantization techniques (GPTQ, AWQ, GGUF) and an understanding of how model compression impacts accuracy and latency

  • Have experience working with large language models (LLMs), transformer architectures, and multi-modal AI systems

  • Demonstrate familiarity with model safety and responsible AI practices, including content filtering, red-teaming, or adversarial robustness evaluation

  • Show proficiency in Python and experience building production data or ML pipelines

  • Have experience with containerized deployments, CI/CD practices, and cloud infrastructure (not required, but suggested)

Work in a way that works for you

FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.

Learn (https://www.akamai.com/careers) what makes Akamai a great place to work

Connect with us on social and see what life at Akamai is like!

We power and protect life online, by solving the toughest challenges, together.

At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here.

Working for you

At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life:

  • Your health

  • Your finances

  • Your family

  • Your time at work

  • Your time pursuing other endeavors

Our benefit plan options are designed to meet your individual needs and budget, both today and in the future.

About us

Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away.

Join us

Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you!

Akamai Technologies is an Aff… All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status.

If no date is displayed, applications are being accepted on an ongoing basis until the job is filled.

Compensation

Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

Equal Employment Opportunity Rights

Akamai Technologies is an Aff… All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status.

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