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Contract Google Machine Learning Engineer Jobs in Berkeley, 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 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 ...

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 ...

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 ...

Plenful Inc.

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $210/hr

About the Role We're looking for a Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the end-to ...

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 ...

Poesis

Machine Learning Engineer

San Francisco, CA · 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 ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Contract * W2 position * Work Location: Hybrid type of work in Pleasanton CA. Proficiency in ... Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ...

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All JobsContract Google Machine Learning Engineer JobsContract Google Machine Learning Engineer Jobs in Berkeley, CA

Contract Google Machine Learning Engineer information

See Berkeley, CA salary details

$36

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$121

How much do contract google machine learning engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for contract google machine learning engineer in Berkeley, CA is $59.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $62.12 per hour, depending on experience, location, and employer.
What job categories do people searching Contract Google Machine Learning Engineer jobs in Berkeley, CA look for? The top searched job categories for Contract Google Machine Learning Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Contract Google Machine Learning Engineer jobs? Cities near Berkeley, CA with the most Contract Google Machine Learning Engineer job openings:
Contract Google Machine Learning Engineer jobs near you
Infographic showing various Contract Google Machine Learning Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,624 per year, or $59.9 per hour.

Machine Learning Engineer

Framework Ventures

San Francisco, CA • On-site

$120 - $160/hr

Other

Posted 5 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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