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Google Brain Jobs in California (NOW HIRING)

Typesafe AI

Member of Staff

San Francisco, CA · On-site

$150K - $250K/yr

We're a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we've been engineering the foundation for what comes after the current ...

B Capital

Controller

San Francisco, CA · On-site

$150 - $200/hr

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. Role Overview As Controller, you'll build the accounting function ...

Brain Co.

Full Cycle Technical Recruiter

San Francisco, CA · On-site

$150 - $200/hr

Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government ...

Artificial Analysis

Senior AI / ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe ...

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Google Brain information

See California salary details

$21.1K

$68.8K

$161.1K

How much do google brain jobs pay per year?

As of Sep 8, 2026, the average yearly pay for google brain in California is $68,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,231.00 and $93,026.00 per year, depending on experience, location, and employer.

What is a Google Brain?

A Google Brain job typically refers to roles within Google Research’s Brain Team, which focuses on advancing artificial intelligence and deep learning. Employees work on cutting-edge machine learning models, neural networks, and AI applications that influence Google products and the broader AI community. These roles often require expertise in computer science, machine learning, and mathematics, along with strong programming skills. Positions may include research scientists, software engineers, and AI/ML specialists.

What are the key skills and qualifications needed to thrive in the Google Brain position?

To excel in a Google Brain role, you need deep expertise in machine learning, artificial intelligence, mathematics, and computer science, often backed by a PhD or strong research experience. Familiarity with advanced programming languages (such as Python, TensorFlow, or JAX), large-scale computing systems, and publication of research in top conferences is highly important. Strong collaboration, creativity, and problem-solving abilities set standout candidates apart within research-driven teams. These capabilities are vital for driving innovation and contributing to impactful AI advancements at Google Brain.

What is the typical team structure and collaboration style for someone working at Google Brain?

Google Brain operates in a highly collaborative, research-focused environment where team members often work in small cross-disciplinary groups. Researchers and engineers regularly partner with colleagues across Google, engaging in shared codebases, brainstorming sessions, and joint publications. You can expect to take part in weekly team meetings, research discussions, and opportunities to collaborate on large-scale experimental projects. This open, team-oriented approach fosters rapid innovation, knowledge sharing, and significant professional growth for those passionate about AI and machine learning.

What are popular job titles related to Google Brain jobs in California?

For Google Brain jobs in California, the most frequently searched job titles are:

What job categories do people searching Google Brain jobs in California look for?

The top searched job categories for Google Brain jobs in California are:

What cities in California are hiring for Google Brain jobs?

Cities in California with the most Google Brain job openings:

Google Brain jobs near you
Infographic showing various Google Brain job openings in California as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $68,791 per year, or $33.1 per hour.

Forward Deployed Engineer - AI Engineer

B Capital

San Francisco, CA • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 20 days ago

Key responsibilities

  • Own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.

  • Build agentic systems by orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.

  • Support end‑to‑end deployments across hybrid environments to ensure scalability, performance, and reliability in production.

Job description

Location

NYC, SF

Employment Type

Full time

Location Type

On-site

Department

Applied AI

Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

Role Overview

We’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands‑on to translate advanced AI research into high‑impact, real‑world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.

What You’ll Do

  • Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.

  • Build agentic systems using state‑of‑the‑art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.

  • Collaborate with research teams to adapt and fine‑tune models for customer‑specific needs.

  • Support end‑to‑end deployments across hybrid environments (public cloud, VPC, and on‑premises), helping ensure scalability, performance, and reliability in production.

  • Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.

What We’re Looking For

  • Strong software engineering background with experience shipping production‑grade systems (Python, Typescript)

  • Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).

  • Deep understanding of machine learning concepts and hands‑on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine‑tuning.

  • 3+ years of software engineering experience delivering AI‑driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).

  • Demonstrated ability and interest to work in customer‑facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.

  • Self‑starter with high agency and ownership, excelling in fast‑paced startup environments where playbooks are still being written.

What We Offer:

We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent‑dense team. You will help define our future as a company, and help define the frontier of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top‑tier compensation: Salary and equity structured to recognize and retain the best talent globally.

  • Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.

  • Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.

  • Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.

  • Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off‑sites and team celebrations.

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