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Machine Learning Engineer I Jobs in Massachusetts

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

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 Inc.

Machine Learning Engineer

Boston, MA · On-site

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

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

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 ...

Capital One

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.

C the Signs

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 ...

C the Signs

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 ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E ...

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All JobsMachine Learning Engineer I JobsMachine Learning Engineer I Jobs in Massachusetts

Machine Learning Engineer I information

See Massachusetts salary details

$34.4K

$140.6K

$211.3K

How much do machine learning engineer i jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer i in Massachusetts is $140,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $169,300.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer I?

A Machine Learning Engineer I is an entry-level professional who designs, builds, and deploys machine learning models within software applications. They work closely with data scientists and software developers to implement algorithms that allow computers to learn from data and make predictions or decisions. Typical responsibilities include cleaning and preparing data, training models, evaluating performance, and optimizing algorithms for scalability and efficiency. This role often requires knowledge of programming languages like Python, frameworks such as TensorFlow or PyTorch, and a solid understanding of statistics and machine learning principles.

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

To thrive as a Machine Learning Engineer I, you need a solid foundation in programming (especially Python), mathematics, and machine learning concepts, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, version control systems (e.g., Git), and cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with stakeholders and translate business needs into technical solutions. These skills are crucial for building robust models, integrating them into production environments, and driving impactful results in data-driven projects.

What is the difference between Machine Learning Engineer I vs Data Scientist?

AspectMachine Learning Engineer IData Scientist
Required CredentialsBachelor's in CS, Math, or related field; some roles may prefer certifications in ML or data analysisBachelor's or higher in Statistics, Data Science, or related field; often requires knowledge of programming and statistics
Work EnvironmentDevelops, tests, and deploys ML models; collaborates with data engineers and software developersAnalyzes data, builds models, and provides insights; works closely with business teams and analysts
Employer & Industry UsageTech companies, startups, and industries implementing AI solutionsFinance, healthcare, marketing, and research sectors relying on data-driven decisions

Machine Learning Engineer I focuses on developing and deploying ML models, while Data Scientists analyze data to generate insights. Both roles require programming skills and a background in math or statistics, but their daily tasks and objectives differ slightly.

What are the typical projects a Machine Learning Engineer I can expect to work on during their first year?

As a Machine Learning Engineer I, you can expect to work on projects such as data preprocessing, building and testing basic machine learning models, and implementing existing algorithms under the guidance of senior team members. You'll often collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions. Early projects may also involve model evaluation, feature engineering, and helping to deploy models into production environments. This hands-on experience helps build a strong foundation for tackling more complex problems as you advance in your career.
What are popular job titles related to Machine Learning Engineer I jobs in Massachusetts? For Machine Learning Engineer I jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer I jobs in Massachusetts look for? The top searched job categories for Machine Learning Engineer I jobs in Massachusetts are:
Machine Learning Engineer I jobs near you
Infographic showing various Machine Learning Engineer I job openings in Massachusetts as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $140,632 per year, or $67.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Boston, MA • On-site

Full-time

Re-posted 3 days ago

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:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• 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.

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