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Machine Learning Developer Jobs in Massachusetts

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective ...

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Senior Machine Learning Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required * Passionate about search and AI technologies.

What We're Looking For As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Machine Learning Engineer III

Boston, MA · On-site

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do: * Design and implement cloud architectures tailored for end-to-end machine learning workflows (including ...

Machine Learning Engineer (LLM)

Boston, MA · On-site

$170K - $200K/yr

You'll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure ... machine learning solutions. What We're Looking For Essential Skills & Experience * Strong ...

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Machine Learning Developer information

See Massachusetts salary details

$19

$41

$56

How much do machine learning developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for machine learning developer in Massachusetts is $41.96, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $56.68 per hour, depending on experience, location, and employer.

What does a Machine Learning Developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

Is ML a high paying job?

Machine Learning Developer roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.

What engineers make $500,000?

Senior machine learning developers and AI engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, or equity compensation.

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

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

What are some common challenges faced by Machine Learning Developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer, and why are they important?

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

Which 3 jobs will survive AI?

For a Machine Learning Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and domain-specific experts. These jobs involve understanding context, ethical considerations, and nuanced decision-making that AI cannot fully replicate. Continuous learning and expertise in specialized tools like TensorFlow or PyTorch enhance job security in this field.
Infographic showing various Machine Learning Developer job openings in Massachusetts as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $87,272 per year, or $42 per hour.
Machine Learning Engineer

Other

Medical, Dental, PTO

Posted 3 days ago


Job description

We're looking for a smart, friendly, and dedicated machine learning engineers to help build new features and products. As a company, we're customer and sales-driven in every technical decision we make. As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured data sources. You will design and build customized, large-scale cloud-based machine learning systems. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers and UX Designers, collaborating in a fast-paced, small-team environment.
We're looking for teammates with:
  • BS in computer science or computer engineering required, MS preferred
  • Broad knowledge of machine learning and deep learning models and its applications using standard tools including Tensorflow/Keras
  • Backend development experience with a strong interest in work involving data pipelines, distributed systems, performance analysis, and/or large-scale data processing
  • Natural language processing experience including named-entity recognition and text classification is a plus
  • Strong Python skills and Python ML stack (pandas, scikit-learn, numpy, etc.) with knowledge of Object-Oriented Programming
  • Fluency in SQL and Database Management
  • Experience with software engineering practices (e.g. Agile, unit testing, code reviews, design documentation)
  • Excellent communication and collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences
By taking this job, you'll get:
  • MacBook Pro
  • Two HD monitors
  • Unlimited vacation
  • Stock options
  • All you can eat snacks
  • Great health and dental benefits
  • Company swag (we have the best socks in Boston)
  • Chance to build something amazing from the ground floor
  • Friendly commuting options to Downtown Crossing