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Google Machine Learning Engineer Jobs in Oakland, CA

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 ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Machine Learning Engineer

Fremont, CA ยท On-site

$102K - $144K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a ...

Machine Learning Engineer

Fremont, CA ยท On-site

$102K - $144K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$130 - $180/hr

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

AI/Machine Learning Engineer Fremont, CA, United States About the Job Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

AI/Machine Learning Engineer Fremont, CA, United States About the Job Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning ...

NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

Showing results 21-40

Google Machine Learning Engineer information

See Oakland, CA salary details

$36.2K

$147.9K

$222.2K

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

As of Sep 6, 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:

Infographic showing various Google Machine Learning Engineer job openings in Oakland, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $147,888 per year, or $71.1 per hour.

Machine Learning Engineer

Pattern AI

San Mateo, CA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Company Description

PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.

Job Description

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities:

  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.

  • Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

  • Proficiency across topics in machine learning and statistics.

  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

  • Experience implementing, deploying, and maintaining production machine learning systems.

  • Experience monitoring and optimizing model performance.

  • Experience with Linux, Docker and AWS, and basic development operations.

  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Additional Information

About PatternAI

PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.

All your information will be kept confidential according to EEO guidelines.