ZipRecruiter

Log In

1

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

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ...

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 ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

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 ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Autodesk

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...

MIT Human Resources

Software Developer

Cambridge, MA · On-site

SOFTWARE DEVELOPER 2 , Chemical Engineering (ChemE)-Machine Learning for Pharmaceutical Discovery ... Google Analytics or comparable tools; and assist in diagnosing and resolving software and ...

Accenture

Google Data Specialist

Boston, MA · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Deloitte

AI Solutions Architect

Boston, MA

$68.50 - $90.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Xforia, Inc.

Principal AI/ML Engineer

Boston, MA · On-site

... machine learning frameworks (Pytorch, Tensorflow, etc.), data science tools (NumPy/Scikit-learn), and cloud services (Google Cloud Platform). Extensive practical knowledge of Machine Learning ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and ... About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · Remote

... Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software ...

Deloitte

Finance Analytics & AI Senior Consultant

Boston, MA · On-site

$126K/yr

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...

next page

Showing results 1-20

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

Google Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do google machine learning jobs pay per year?

As of Jul 12, 2026, the average yearly pay for google machine learning in Boston, MA is $46,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What is the salary of ML in Google?

The salary for a Machine Learning Engineer at Google typically ranges from $120,000 to $200,000 annually, depending on experience, location, and level. Compensation often includes bonuses, stock options, and benefits, reflecting the company's competitive pay structure for technical roles involving skills in TensorFlow, Python, and data modeling.

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

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 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.

Which 3 jobs will survive AI?

For a Google Machine Learning role, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to persist alongside AI advancements. These include roles like data scientists, AI ethics specialists, and machine learning engineers, as they involve tasks that are difficult to automate fully. Continuous learning and expertise in tools like TensorFlow or PyTorch can also help professionals stay relevant in this evolving field.

What engineer makes $500,000 a year?

Senior machine learning engineers at top tech companies, including those working on advanced AI models at organizations like Google, can earn $500,000 or more annually, especially with bonuses and stock options. Achieving this level typically requires extensive experience, specialized skills in deep learning and data science, and often involves leadership roles or highly impactful projects.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle some tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation, troubleshooting, and ethical considerations.
What are popular job titles related to Google Machine Learning jobs in Boston, MA? For Google Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
Google Machine Learning jobs near you
Infographic showing various Google Machine Learning job openings in Boston, MA as of July 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $46,257 per year, or $22.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

ICONSTAFF

Cambridge, MA • On-site, Remote

Full-time

Medical, Retirement

Re-posted 14 days ago

Job description

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 autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.

Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.


Responsibilities

  • Design, develop, and optimize ML models for computer vision and robotics tasks.
  • Build robust training and fine-tuning pipelines for large-scale datasets.
  • Integrate ML systems into real-world platforms, bridging research and production.
  • Write clean, efficient, and maintainable code across Python and/or C++.
  • Stay current on research and apply state-of-the-art techniques in autonomy and perception.


Requirements

  • Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
  • Hands-on experience applying ML to computer vision and/or robotics.
  • Proficiency with PyTorch or TensorFlow.
  • Strong coding skills in Python or C++ (ideally both).
  • Experience deploying ML models and building training pipelines.
  • Familiarity with Git and collaborative software development practices.


Nice to Have:

  • CUDA kernel development and model optimization (quantization, pruning, distillation).
  • Experience with ONNX, TensorRT, or OpenVINO for deployment.
  • Robotics middleware (ROS2).
  • SLAM, 3D perception, or sensor fusion (LiDAR, IMU).
  • Real-time or low-latency inference pipelines.


Why Tycho.AI

  • Be part of a rapidly scaling startup defining the future of autonomous intelligence.
  • Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem.
  • Direct impact on national security missions and dual-use commercial applications.
  • Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.