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Director Google Machine Learning Engineer Jobs in Brighton, MA

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Teradyne

Software Machine Learning Engineer

Reading, MA · On-site

$116K - $186K/yr

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/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 ...

DraftKings

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/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 ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

DraftKings, Inc.

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering ...

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All JobsGoogle Machine Learning Engineer JobsDirector Google Machine Learning Engineer JobsDirector Google Machine Learning Engineer Jobs in Brighton, MA

Director Google Machine Learning Engineer information

See Brighton, MA salary details

$39.2K

$100.2K

$153.7K

How much do director google machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for director google machine learning engineer in Brighton, MA is $100,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $115,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Brighton, MA? The most popular types of Google Machine Learning Engineer jobs in Brighton, MA are:
What job categories do people searching Director Google Machine Learning Engineer jobs in Brighton, MA look for? The top searched job categories for Director Google Machine Learning Engineer jobs in Brighton, MA are:
What cities near Brighton, MA are hiring for Director Google Machine Learning Engineer jobs? Cities near Brighton, MA with the most Director Google Machine Learning Engineer job openings:
Director Google Machine Learning Engineer jobs near you
Infographic showing various Director Google Machine Learning Engineer job openings in Brighton, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $100,191 per year, or $48.2 per hour.

Staff Machine Learning Engineer

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. 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 scale. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production. Everything you build will matter. A defining piece of this role is owning the AI/ML architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration. You will be the data engineering lead for the digital thread that connects Xometry's platform to our partner's ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The system you design is what takes the innovative digital thread operating at "science fiction speed" from ideation to reality.

How You'll Contribute:

  • Lead with technical depth - Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives
  • Own the Partner integration AI/ML plane - Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and  Designcenter. You will be responsible for designing the real-time ML serving architecture and the low-latency signal path that delivers DFM and pricing feedback directly into the designer's environment. This includes defining the data contracts for model inputs/outputs and implementing the MLOps, governance, and observability required for a mission-critical, public-marketplace partner integration.
  • Build for scale - Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure
  • Solve ambiguous problems - Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives
  • Set the Standard - Proactively surface opportunity areas, take ownership of new processes and solutions, and develop multi-quarter roadmaps to accomplish key technical objectives
  • Champion quality and security - Apply best practices in automated testing, parallel and distributed computing, and secure software development across ML systems
  • Collaborate broadly - Partner with engineers, product managers, data scientists, and business stakeholders to translate requirements into robust technical solutions
  • Mentor and elevate - Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team
  • Stay current - Keep pace with advances in ML/AI and bring relevant new approaches, tools, and frameworks into practice

What You'll Bring to Xometry:

  • Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production
  • Deep expertise in ML and AI technologies, including Gradient Boosting methods, Deep Learning, and/or Generative AI frameworks, with a focus on backend scalability and reusability
  • Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred), including auto-scaling, monitoring, and alerting
  • Strong proficiency in Python and advanced ML/AI frameworks such as TensorFlow, PyTorch, or similar
  • Solid grounding in software engineering fundamentals, data structures, and algorithms
  • Demonstrated experience with MLOps practices: model monitoring, data and concept drift detection, and automated retraining and redeployment pipelines
  • Proficiency with CI/CD pipelines (e.g., Github actions),test driven development, and infrastructure as code (e.g., Terraform).
  • Experience profiling and optimizing existing ML model deployments for latency and throughput
  • Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across engineering, product, and business audiences
  • Experience with state-of-the-art modeling techniques including transformers, self-supervised pre-training, large language models (LLMs), or generative AI
  • Knowledge of containers, container orchestration (Kubernetes), and cloud-native distributed systems
  • Background in manufacturing, supply chain, or marketplace environments is a plus - but curiosity and drive matter more

The estimated base salary range for new hires into this role is $200,000-$220,000.00 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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