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Entry Level Machine Learning Engineer Jobs in Hopkinton, 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 ...

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to ...

Showing results 41-60

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 Aug 12, 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 as an entry level machine learning engineer?

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?

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:
Infographic showing various Entry Level Machine Learning Engineer job openings in Hopkinton, MA as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $76,210 per year, or $36.6 per hour.

Machine Learning Engineer with Security Clearance

STR

Woburn, MA • On-site

$115K - $140K/yr

Other

Posted 14 days ago


Job description

About the Team STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems. Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback. This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite. What you will do: * Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends * Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts * Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems * Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces Who you are: * Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government * Hold a B.S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline * Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional * Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks * Familiarity with creating data visualizations and user interfaces or dashboards * Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib * Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools * Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users Even better: * Active Top Secret (TS) Security Clearance * Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization * Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce * Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate) * Experience in intelligence and military-related mission areas Pay Information
Full-Time Salary Range: $115,000 - $140,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.