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Entry Level Machine Learning Engineer Jobs in Hopkinton, MA

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will ...

CVS Health

Sr Machine Learning Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Machine Learning Engineer to design and implement ML solutions that automate pharmacy ...

OneScreen

Founding Machine Learning Engineer

Boston, MA · On-site

About the role You'll be the founding ML engineer who owns our matching algorithms from exploration ... Real ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not ...

MIT Human Resources

Program Engineer 1

Cambridge, MA

MACHINE LEARNING ENGINEER , Jameel Clinic for Machine Learning, will lead deploying machine learning models developed in our labs; collaborate with researchers to improve novel algorithms; customize ...

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Entry Level Machine Learning Engineer information

See Hopkinton, MA salary details

$33K

$76.2K

$129.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for entry level machine learning engineer in Hopkinton, MA is $76,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $86,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What cities near Hopkinton, MA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Hopkinton, MA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Redhat

Boston, MA • On-site, Remote

$174K - $287K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Job Summary

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.

Join us in shaping the future of AI!

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

What you will do

  • Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM, and related projects, such as llm-d, LLM-compressor and speculators.

  • Create and manage inference serving deployment pipelines

  • Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models

  • Participate in technical design discussions and provide innovative solutions to complex problems

  • Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research

  • Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance

  • Give thoughtful and prompt code reviews

  • Mentor and guide other engineers and foster a culture of continuous learning and innovation

  • Continuous collaboration with internal and external open source comitters and contributors while contributing to vLLM and related projects

What you will bring

  • Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning

  • Experience with tensor math libraries such as PyTorch and NumPy

  • Strong programming skills with proven experience implementing Python based machine learning solutions

  • Ability to develop and implement research ideas and algorithms

  • Experience with mathematical software, especially linear algebra

  • Understanding of Linear Algebra, Gradients, Probability, and Graph Theory

  • Strong communications skills with both technical and non-technical team members

  • BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus.


#LI-MD2

#AI-HIRING
#vllm-1

The salary range for this position is $174,190.00 - $287,410.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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