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Google Machine Learning Engineer Jobs in Oakland, CA

Advatix Inc.

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 ...

Capital One

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 ...

Capital One

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 ...

Capital One

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 ...

Winaxis

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 ...

Pattern AI

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 ...

Compunnel

Machine Learning Engineer

San Jose, CA · On-site

Job Summary The Machine Learning Engineer will lead the development of advanced Machine Learning and Artificial Intelligence solutions that support large-scale business applications and customer ...

New

MM International

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, 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 ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · 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 ...

PayPal, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature ...

New

PayPal

Machine Learning Engineer

San Jose, CA

Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature ...

New

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Showing results 1-20

All JobsGoogle Machine Learning Engineer JobsGoogle Machine Learning Engineer Jobs in Oakland, CA

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 Aug 12, 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 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 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 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:
Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Oakland, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $147,888 per year, or $71.1 per hour.

Machine Learning Engineer

Framework Ventures

San Francisco, CA • On-site

$120 - $160/hr

Other

Posted 7 days ago

Job description

Andalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world’s programmable GDP.

Our team has shipped massively scalable systems and products at Coinbase, Google, AWS, Microsoft, X, TikTok, Goldman Sachs, and High-Frequency Trading firms. We are backed by Coinbase, Mubadala, Lightspeed, Bain Capital, Pantera, Framework, Digital Currency Group, Proof Group, Nima Capital, Naval Ravikant, Arthur Hayes, and founders, GPs, and executives from organizations like Founders Fund, Google, and Coinbase.

Role

We are looking for a talented and driven Machine Learning Engineer who is passionate about building innovative products from 0 to Production. As a Machine Learning Engineer, you will work on a variety of projects related to applied machine learning. You will work closely with the founders, engineers, and other cross‑functional partners and bring new products and business lines to market. This is an amazing opportunity offering you the ability to learn new technical skills in blockchain and work with an amazing team of engineers.

Responsibilities
  • Work closely with the founders, engineers, and other cross‑functional partners to rapidly iterate, experiment, and launch products
  • Improve and optimize LLMs for use in production systems
  • Design and implement scalable data and machine learning pipelines
  • Build best‑in‑class AI chatbots that guide users through their Karak journey by translating research papers, blogs, and technical documentation into more accessible content
  • Participate in discussions from the initial product ideas to launch
  • Understand, build, and help optimize financial algorithms
Requirements
  • BA/BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • 5+ years of systems programming experience working with at least one of these languages (Python, Scala, Java)
  • Experience building machine learning models with ML frameworks such as Tensorflow, PyTorch, and other open‑source frameworks
  • Experience manipulating and optimizing large amounts of structured and unstructured data through pipeline development tools
  • Familiarity with modern software development practices, including version control (Git), continuous integration, and automated testing as applied to Rust, Go, and/or Solidity stacks
  • Highly autonomous, ability to design and develop software with minimal guidance
  • Ability to work in a fast‑paced environment and across the product engineering stack
  • Clear written and verbal communication
Bonus
  • Experience building or working on open‑source ML projects
  • Experience building on EVM, Solana, or Cosmos
  • Experience in algorithmic trading or understanding of traditional finance primitives
  • Founded a company
  • Experience working with startups
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