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Machine Learning Architect Jobs in Massachusetts

Ayo Semiconductor

Machine Learning Architect

Boston, MA · On-site

... architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine learning systems work - and bring that curiosity to bear on how ...

Capital One

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 ...

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 ...

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 ...

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 ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111K - $222K/yr

Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including ...

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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 Jul 13, 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 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.

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

Machine Learning Architect

Ayo Semiconductor

Boston, MA • On-site

Full-time

Medical, Dental, Vision

Posted 26 days ago

Job description

About Ayo

We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI.

The Role

We are seeking a deep ML practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required.

What You’ll Do:

  • Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips.

  • Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware.

  • Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation.

  • Maintain a deep curiosity about what makes machine learning systems work - and bring that curiosity to bear on how they run on new hardware.

  • Support go-to-market strategy development

What We’re Looking For:

  • PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale.

  • Experience training models at scale - distributed training across many GPUs, working with large datasets and compute.

  • Has built and trained neural networks from scratch

  • Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus).

  • Excitement about applying deep AI expertise to new and novel hardware environments - you don’t need prior experience with photonics or silicon, but you want to learn.

  • Fluent knowledge of Python

  • Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries

Why Ayo

  • You'll be a founding AI team member - shaping how we think about and deploy AI as a company.

  • We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform.

  • Early-stage means real ownership, real impact, and meaningful equity.

  • Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision.

  • Fully onsite in Boston - we are a collaborative, in-person team.