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Google Machine Learning Jobs (NOW HIRING)

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$78 - $176/hr

Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google * Experience with Kubernetes * Experience with data science or machine learning * Knowledge of python ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT · On-site

They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... Google Cloud, with flexibility to other platforms). • Collaborate closely with ML researchers ...

COOLSOFT

AI/ML Support Engineer

Baton Rouge, LA · On-site

Google Machine Learning Engineer Certification Additional Requirement * Must be willing to work hybrid from Baton Rouge, LA, with onsite presence from Day One . * Immediate availability is highly ...

New

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

Tapestry

Machine Learning Engineer

Mountain View, CA

About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

... Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 ... This person will implement and develop machine learning models to enhance our platform ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

Experience working with public cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, including their machine learning and AI services. Experience with multimodal foundation models ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Google Cloud Platform (GCP). * Follow Agile methodologies to deliver production-ready, highly ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ...

Sandbar

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... This role involves developing software and machine learning algorithms for use in human computer ...

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Google Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do google machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for google machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.
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Google Machine Learning jobs near you
Infographic showing various Google Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Photonic Engineer, Machine Learning

Google Inc.

Sunnyvale, CA • On-site

$188 - $275/hr

Other

Re-posted 4 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Job description

corporate_fare Google place Sunnyvale, CA, USA

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 6 years of experience working in a high-speed datacom technical environment.
  • 5 years of experience in digital coherent optical transmissions.
Preferred qualifications
  • PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • Experience with script writing and test and measurement system automation.
  • Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling.
  • Knowledge of large volume high-speed optical transceiver designs and manufacturing.
  • Knowledge of data center network and machine learning system architectures.
About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting‑edge data centers, affecting millions of Google users.

Pay range: US: $188,000 - $275,000 (USD) + 20% bonus target + equity + benefits.

Learn more about benefits at Google.

Responsibilities
  • Design low-cost and high-speed optical transceivers for data center applications.
  • Develop optical systems and architectures to scale TPU and GPU superpods.
  • Identify, research, evaluate emerging photonic networking technologies.
  • Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.
EEO Statement

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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