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Machine Learning Developer Jobs in Massachusetts

Lead Machine Learning Engineer

Cambridge, MA ยท On-site +1

$112K - $147K/yr

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. You ...

Sr. Lead Machine Learning Engineer

Cambridge, MA ยท 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 ยท 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 ยท 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 ...

Senior Machine Learning Engineer

Boston, MA ยท Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include: * Design, develop, and maintain AI ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms and the data platform that supports them, along with designing and shipping models that optimize ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

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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 Jul 29, 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 well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries tend to be higher than average in tech hubs and increase with experience, certifications, and expertise in tools like TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often found 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and system integration. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Continuous learning and expertise in programming, data analysis, and model optimization remain critical for MLEs' roles.

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 engineer makes $500,000 a year?

Senior machine learning developers or AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

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.
Infographic showing various Machine Learning Developer job openings in Massachusetts as of July 2026, with employment types broken down into 80% Full Time, 7% Part Time, 1% Temporary, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $87,272 per year, or $42 per hour.

Machine Learning Engineer

Focus Financial Partners

Boston, MA โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
Focus Financial Partners is a leading financial services firm that provides integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with various teams to translate research models into scalable applications.
Responsibilities:
โ€ข Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
โ€ข Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
โ€ข Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
โ€ข Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
โ€ข Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
โ€ข Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
โ€ข Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
โ€ข Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
โ€ข Masterโ€™s degree in Computer Science, Data Science, Engineering, or a related technical field.
โ€ข 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
โ€ข Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
โ€ข Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
โ€ข Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
โ€ข Familiarity with CI/CD pipelines, testing automation, and version control using Git.
โ€ข Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
โ€ข Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
โ€ข Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.