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Google Machine Learning Jobs in Boston, MA (NOW HIRING)

Foundation EGI

Software Architect

Boston, MA · On-site

Experience working with cloud infrastructure on Google Cloud Platform. * Strong knowledge of data modeling, performance optimization, and scalable system design. * Familiarity with machine learning ...

Clevanoo LLC

AI Architect

Milford, MA · On-site

$69 - $91/hr

... machine learning, generative AI, automation, and emerging agent-based capabilities Develop ... cloud platform (AWS, Azure, or Google Cloud Platform) Understanding of the lifecycle and ...

Foundation EGI

Software Architect

Boston, MA

Experience working with cloud infrastructure on Google Cloud Platform. * Strong knowledge of data modeling, performance optimization, and scalable system design. * Familiarity with machine learning ...

Foundation EGI

Software Architect

Boston, MA · On-site

... Google Cloud Platform and/or AWS. • Strong knowledge of data modeling, performance optimization, and scalable system design. • Familiarity with machine learning including LLMs. • Excellent ...

Pwc

AI & GenAI Data Scientist - Manager

Boston, MA · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

MSD

Associate Director, AI/ML Engineering

Cambridge, MA · On-site

$64K - $65K/yr

Amazon Web Services (AWS), Databricks Platform, Google Cloud Platform (GCP) for Machine Learning, Imaging Analysis, Omics Current Employees apply HERE Current Contingent Workers apply HERE US and ...

Saviance

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

... machine learning algorithms. • Fluency in data science tools like NumPy/Scikit-learn and cloud services such as Google Cloud Platform. • Experience with automation processes for repetitive tasks ...

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All JobsGoogle Machine Learning JobsGoogle Machine Learning Jobs in Boston, MA

Google Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.7K

How much do google machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for google machine learning in Boston, MA is $46,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $50,000.00 per year, depending on experience, location, and employer.

What is a Google machine learning engineer?

A Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and systems at Google. They work closely with data scientists, software engineers, and product teams to solve complex problems using artificial intelligence and machine learning techniques. These engineers use tools such as TensorFlow and Google Cloud Platform to develop scalable solutions for products like Search, Assistant, and YouTube. Their role also involves optimizing models for performance and ensuring ethical and responsible AI development.

What are the key skills and qualifications needed to thrive as a machine learning engineer at Google?

To excel as a Machine Learning Engineer at Google, you need a strong background in computer science, mathematics, and machine learning concepts, typically supported by a relevant degree and experience in data-driven problem solving. Proficiency with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and cloud platforms (like Google Cloud) is essential. Strong analytical thinking, creativity, and effective communication skills set candidates apart in collaborative and innovative environments. These abilities are crucial for developing scalable, impactful machine learning solutions that address complex real-world challenges at Google.

What are some common challenges faced by machine learning engineers at Google when deploying models to production?

Machine learning engineers at Google often encounter challenges such as ensuring their models scale efficiently to serve billions of users, maintaining high reliability and low latency, and addressing potential biases in large, diverse datasets. They also work closely with cross-functional teams including software engineers and product managers to integrate models into complex systems, requiring strong communication and collaboration skills. Regularly updating and monitoring models to adapt to changing data patterns is another key responsibility, making continuous learning and adaptability essential for success in this role.

What job categories do people searching Google Machine Learning jobs in Boston, MA look for?

The top searched job categories for Google Machine Learning jobs in Boston, MA are:

Google Machine Learning jobs near you
Infographic showing various Google Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,322 per year, or $22.3 per hour.

Software Architect

Boston, MA • On-site

Foundation EGI
See more jobs at Foundation EGIexternal

Full-time

Re-posted 2 days ago

Job description

About us
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'-an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
The Role
We are looking for an experienced Software Architect to help shape the foundation of our products as we scale. You will lead architecture decisions across our systems, collaborate closely with product and research teams, and drive the delivery of high-impact features across the stack.
This role is ideal for someone who enjoys solving complex technical problems, mentoring teams, and building scalable systems at the intersection of AI, simulation, and modern cloud infrastructure
Responsibilities
  • Lead the architecture, technical design, and execution strategy for cross-functional engineering initiatives.
  • Define scalable system designs and establish engineering best practices across the organization.
  • Partner closely with Product and Research teams to translate ideas into production-ready features.
  • Break down complex initiatives into clear technical specifications, implementation plans, and delivery milestones.
  • Mentor engineers and researchers through architecture reviews, code reviews, technical documentation, and pair programming.
  • Improve the reliability, scalability, observability, and performance of our platforms and services.
  • Contribute hands-on to critical parts of the codebase with clean, maintainable, and well-tested code.
  • Drive continuous improvements in developer experience, infrastructure, and deployment workflows.
  • Help foster a strong engineering culture focused on quality, ownership, and collaboration.

What Were Looking for
  • BS/MS in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience building and scaling complex software systems.
  • Strong experience designing distributed systems and service-oriented architectures.
  • Fluency in Python, TypeScript, and SQL.
  • Experience designing and implementing gRPC and Protobuf-based APIs.
  • Experience working with cloud infrastructure on Google Cloud Platform.
  • Strong knowledge of data modeling, performance optimization, and scalable system design.
  • Familiarity with machine learning including LLMs.
  • Experience building Frontends with React.JS.
  • Excellent communication and collaboration skills across technical and non-technical teams.

Bonus Points
  • Experience managing infrastructure as code (Terraform, Pulumi, etc.).
  • Experience working with CAD software.
  • Background in computer graphics, simulation, or physics-based systems.
  • Experience building or working with Domain-Specific Languages (DSLs).
  • Experience deploying or integrating machine learning systems into production environments.
  • Familiarity with Kubernetes-based production environments.

Our Tech Stack
  • Google Cloud, AWS
  • Python, TypeScript
  • Protobuf, gRPC
  • Next.JS, React.JS
  • GitHub Actions
  • Docker, Kubernetes, Spinnaker
  • PostgreSQL

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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