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Associate Machine Learning Jobs in Massachusetts

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... our associates work and provide value to our customers. * Design, develop, test, deploy, and ...

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... our associates work and provide value to our customers. * Design, develop, test, deploy, and ...

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 ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

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Associate Machine Learning information

See Massachusetts salary details

$26.5K

$139.3K

$341.5K

How much do associate machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for associate machine learning in Massachusetts is $139,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $193,100.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What are popular job titles related to Associate Machine Learning jobs in Massachusetts? For Associate Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Massachusetts look for? The top searched job categories for Associate Machine Learning jobs in Massachusetts are:
Postdoctoral Associate

Postdoctoral Associate

MIT Human Resources

Cambridge, MA • On-site

Other

Posted 16 days ago


Job description

POSTDOCTORAL ASSOCIATE, MACHINE LEARNING FOR HEALTH, Medical Engineering & Science (IMES), will develop machine learning methods for latent representation learning from complex, multimodal, time-varying clinical data, with the goal of informing sequential treatment decision-making and generating actionable insights with high potential impact in clinical medicine; and work closely with Dr. Li-wei Lehman and join a multidisciplinary team developing machine learning and statistical methods with strong translational impact in health and medicine. The project offers opportunities to develop and apply novel approaches to generate clinically meaningful insights from observational health data, including clinical time series and physiological signals, with potential extensions to multimodal learning.


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About MIT Human Resources

Sourced by ZipRecruiter

Our mission is to advance a vibrant and diverse work community where individuals and groups thrive and contribute to MIT's excellence. We offer Support, Services, and Programs to enhance your work life. We're here to help. MIT is committed to helping employees achieve a healthy balance between their careers and the full lives they lead off-campus. Explore all of MIT's Work & Life resources, including MyLife Services, which provides 24/7 access to a network of experts available to help with life’s challenges.

Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014