1

Machine Learning Developer Intern 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 ...

Sr Data Scientist

Albany, NY · On-site

$85 - $95/hr

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 ...

... 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 ...

... 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

... 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 ...

Be Seen First

Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

High proficiency using agile software tools like Jira and following mature DevOps practices using ... Experience in working with data science and machine learning models and frameworks * Previous ...

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 ...

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

Perform machine and deep learning models: neural network model, text classification using LSTM and ... Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of ...

Senior Business Intelligence Developer Location: Troy, MI Pay Rate: $40-45/hr Duration: 13 weeks ... Basic understanding of Statistical and Machine Learning concepts. Basic understanding of ...

next page

Showing results 1-20

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 Aug 20, 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 Senior Software Engineer

Akamai Technologies, Inc.

Albany, NY • On-site

$121 - $219/hr

Other

Medical, Retirement, PTO

Posted 2 days ago

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.

#J-18808-Ljbffr

What Akamai Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom