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Machine Learning Architect Jobs in Massachusetts

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

New

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Solid theoretical and practical understanding of ML architecture design, training, evaluation, and ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner ...

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148K - $266K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

Apple

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133K - $176K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... and transformer architecture.Skilled in communication, problem solving, critical thinking.

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

Develop and deploy machine learning models for optimal performance and scalability. * Productivity ... Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc ...

Apple

Senior Machine Learning Engineer

Cambridge, MA

$162K - $286K/yr

Senior Machine Learning Engineer Imagine what you could do here! The people here at Apple don't ... transformer architecture. * Skilled in communication, problem solving, critical thinking.

Xometry

Staff Machine Learning Engineer

Waltham, MA

$200K - $220K/yr

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

Develop and deploy machine learning models for optimal performance and scalability. * Productivity ... Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc ...

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Machine Learning Architect information

See Massachusetts salary details

$50.8K

$140.6K

$220.1K

How much do machine learning architect jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning architect in Massachusetts is $140,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $181,300.00 per year, depending on experience, location, and employer.

What typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a machine learning architect do?

A machine learning architect designs and develops machine learning systems and infrastructure to solve complex problems. They evaluate data, select appropriate algorithms, and oversee model deployment, often using tools like Python, TensorFlow, or cloud platforms. Strong programming skills and understanding of data architecture are essential for this role.

What is the salary of an ML architect?

The salary of a Machine Learning Architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in deep learning, data engineering, and cloud platforms can earn higher compensation, often exceeding $180,000.

Which 5 jobs will survive AI?

Machine Learning Architects are likely to continue to be in demand as they design and oversee AI systems, requiring expertise in algorithms, data modeling, and programming. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and creative designers—are also expected to persist despite AI advancements. These jobs typically require specialized skills, critical thinking, and emotional intelligence that AI cannot easily replicate.

What does a Machine Learning Architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

Is ML a high paying job?

Machine Learning Architect roles are generally high-paying due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.
What are the most commonly searched types of Machine Learning Architect jobs in Massachusetts? The most popular types of Machine Learning Architect jobs in Massachusetts are:
What are popular job titles related to Machine Learning Architect jobs in Massachusetts? For Machine Learning Architect jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Architect jobs in Massachusetts look for? The top searched job categories for Machine Learning Architect jobs in Massachusetts are:
Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Massachusetts as of June 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 77% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $140,617 per year, or $67.6 per hour.
Sr. Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer

Capital One

Cambridge, MA • On-site, Remote

Full-time

Posted yesterday

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

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. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you'll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
  • Use programming languages like Python, Scala, or Java.
Basic Qualifications:
  • Bachelor's Degree
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
Preferred Qualifications:
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow
  • 3+ years of experience developing performant, resilient, and maintainable code
  • 3+ years of experience with data gathering and preparation for ML models
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
  • 3+ years of experience building production-ready data pipelines that feed ML models
  • Ability to communicate complex technical concepts clearly to a variety of audiences
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer


McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer


New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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