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 ...
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 ...
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 ...
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 ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
Machine Learning Engineer
San Jose, CA · On-site
$55 - $60/hr
Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform ... engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning ...
Quick apply
Machine Learning Engineer
San Jose, CA · On-site
$55 - $60/hr
Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform ... engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning ...
Machine Learning Engineer
Pleasanton, CA · On-site
Google Cloud Platform cloud experience, including BigQuery and cloud-native services * Experience ... Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data ...
Machine Learning Engineer
Pleasanton, CA · On-site
Google Cloud Platform cloud experience, including BigQuery and cloud-native services * Experience ... Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data ...
Machine Learning Engineer
Pleasanton, CA · On-site
Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a ...
Machine Learning Engineer
Pleasanton, CA · On-site
Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer
San Mateo, CA · On-site
$110 - $165/hr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
Machine Learning Engineer
San Mateo, CA · On-site
$110 - $165/hr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
Lead Machine Learning Engineer
$120K - $158K/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 ...
Lead Machine Learning Engineer
$120K - $158K/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 ...
Lead Machine Learning Engineer
$120K - $159K/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 ...
Lead Machine Learning Engineer
$120K - $159K/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 ...
Machine Learning Engineer, Tapestry
Mountain View, CA · On-site
$166 - $244/hr
Software Engineering Mountain View, CA (HQ) About Tapestry Tapestry is a group within Google ... Train, and deploy machine learning models in production environments. * Work with senior team ...
Machine Learning Engineer, Tapestry
Mountain View, CA · On-site
$166 - $244/hr
Software Engineering Mountain View, CA (HQ) About Tapestry Tapestry is a group within Google ... Train, and deploy machine learning models in production environments. * Work with senior team ...
Lead Machine Learning Engineer
San Jose, CA · On-site +1
$120K - $158K/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 ...
Lead Machine Learning Engineer
San Jose, CA · On-site +1
$120K - $158K/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 ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Senior Machine Learning Engineer
San Francisco, CA · On-site
$150 - $250/hr
... Google, send a code, an SMS or Telegram password, run some code, or install software -- refuse ... Senior Machine Learning Engineer * Location: Remote * Employment Type: Full-time Compensation:
New
Senior Machine Learning Engineer
San Francisco, CA · On-site
$150 - $250/hr
... Google, send a code, an SMS or Telegram password, run some code, or install software -- refuse ... Senior Machine Learning Engineer * Location: Remote * Employment Type: Full-time Compensation:
New
Lead Machine Learning Engineer
San Jose, CA · On-site
$120K - $158K/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 ...
Lead Machine Learning Engineer
San Jose, CA · On-site
$120K - $158K/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 ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/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 ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120K - $159K/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 ...
... Google working to build the AI-powered electric grid. We are tackling one of the world's most ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...
... Google working to build the AI-powered electric grid. We are tackling one of the world's most ... About the role: We're looking for an early career Machine Learning Engineer to join our team. In ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Google Machine Learning Engineer information
See Oakland, CA salary details
$36.2K - $53.1K
1% of jobs
$53.1K - $70K
1% of jobs
$70K - $86.9K
5% of jobs
$86.9K - $103.8K
6% of jobs
$117.8K is the 25th percentile. Wages below this are outliers.
$103.8K - $120.7K
14% of jobs
$120.7K - $137.7K
14% of jobs
The median wage is $146.1K / yr.
$137.7K - $154.6K
18% of jobs
$154.6K - $171.5K
14% of jobs
$174.9K is the 75th percentile. Wages above this are outliers.
$171.5K - $188.4K
12% of jobs
$188.4K - $205.3K
11% of jobs
$205.3K - $222.2K
5% of jobs
$36.2K
$147.9K
$222.2K
How much do google machine learning engineer jobs pay per year?
As of Sep 5, 2026, the average yearly pay for google machine learning engineer in Oakland, CA is $147,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $178,000.00 per year, depending on experience, location, and employer.
What is a Google machine learning engineer?
A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.
What skills and qualifications are needed to thrive as a Google machine learning engineer?
To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.
What types of projects and collaborations can Google machine learning engineers expect to be involved in?
Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Oakland, CA?
The most popular types of Google Machine Learning Engineer jobs in Oakland, CA are:
What are popular job titles related to Google Machine Learning Engineer jobs in Oakland, CA?
For Google Machine Learning Engineer jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Google Machine Learning Engineer jobs in Oakland, CA look for?
The top searched job categories for Google Machine Learning Engineer jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Google Machine Learning Engineer jobs?
Cities near Oakland, CA with the most Google Machine Learning Engineer job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 22 days ago
Tapestry Inc. rating
8.2
Based on 36 frontline employees who took The Breakroom Quiz
1st of 105 rated fashion retailers
Job description
About Tapestry
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
What you should have:
It'd be great if you also had these:
Our values
What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
- Train, and deploy machine learning models in production environments.
- Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains
- Operationalize ML model training at serving at enterprise scale
- Stay abreast of the latest advancements in machine learning
What you should have:
- Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field
- 3+ years of experience in machine learning model development and engineering.
- Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning
- Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
- Experience with building and deploying ML systems at scale, OR a proven ability to perform applied ML research and develop the state of the art in an academic setting
It'd be great if you also had these:
- PhD in Machine Learning, Computer Science, Statistics, or a related field
- Experience with cloud platforms such as AWS, GCP, or Azure.
- A strong portfolio of projects demonstrating ML expertise.
Our values
- Take charge: We take initiative and own outcomes that move the mission forward.
- Transform with purpose: We build solutions that solve real problems and create meaningful impact.
- Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
- Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
- Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
- Competitive salary and equity
- Medical, dental, and vision coverage
- Generous PTO and flexible hybrid work model
- 401(k) with employer contribution
- Professional development
- The ability to work on important real-world problems within an Alphabet-backed environment
The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
What Tapestry Inc. employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom