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Google Brain Jobs (NOW HIRING)

career

Founding Engineering Lead

New York, NY

$180K - $220K/yr

Andrew Ng, Chairman (AI Fund, founder of Coursera/Google Brain) Build core AI product primitives: * Voice capture/playbackLow-latency interactions * Scene framework (content + branching + scoring ...

Reflection AI, Inc

Head of Total Rewards

San Francisco, CA · On-site

$147K - $201K/yr

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. About the Role We are hiring a Head of Total Rewards to define ...

career

Founding Engineering Lead

New York, NY · On-site

$180K - $220K/yr

Andrew Ng, Chairman (AI Fund, founder of Coursera/Google Brain) Build core AI product primitives: * Voice capture/playbackLow-latency interactions * Scene framework (content + branching + scoring ...

Reflection AI, Inc

Controller

New York, NY · On-site

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 ...

Reflection AI, Inc

Accounting Manager

New York, NY · On-site

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. About the Role You'll be the first dedicated accounting hire at ...

Reflection AI, Inc

Product Manager - OSS

New York, NY · On-site

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. The role PMs at Reflection own a product end-to-end. One person is ...

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

Collaborate with experts from Google Brain, Two Sigma, Stanford, MIT, Columbia, and IBM, rapidly deploying advanced models and systems that directly impact small businesses. We work in person, 5 days ...

Reflection AI, Inc

HR Business Partner

New York, NY · On-site

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. About the Role The HR Business Partner will serve as a strategic ...

Reflection AI, Inc

Executive Assistant

New York, NY · On-site

Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. About the Role We're looking for an exceptionally organized ...

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All JobsGoogle Brain Jobs

Google Brain information

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$21.5K

$70.3K

$164.5K

How much do google brain jobs pay per year?

As of Jun 16, 2026, the average yearly pay for google brain in the United States is $70,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $95,000.00 per year, depending on experience, location, and employer.

How much do you get paid at DeepMind?

DeepMind, as a leading AI research organization, offers competitive salaries for roles like research scientists and engineers, often aligned with industry standards for tech and AI fields. Compensation varies based on experience, role, and location, and may include benefits such as stock options and bonuses.

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.

Is Google Brain still active?

Google Brain is an active research team within Google focused on artificial intelligence and deep learning. They continue to develop advanced AI models and tools, often collaborating with other Google divisions and external researchers. Job opportunities related to Google Brain typically involve skills in machine learning, neural networks, and programming frameworks like TensorFlow.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve empathy, nuanced decision-making, and hands-on skills that AI cannot easily replicate.

What are the key skills and qualifications needed to thrive in the Google Brain position, and why are they important?

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 a Google Brain job?

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.

How hard is it to get a job at Google DeepMind?

Securing a role at Google DeepMind is highly competitive, often requiring advanced degrees such as a PhD in machine learning, AI, or related fields, along with strong research experience and technical skills in programming and data analysis. Candidates typically undergo rigorous interview processes that assess technical expertise, problem-solving ability, and research contributions.
What cities are hiring for Google Brain jobs? Cities with the most Google Brain job openings:
What states have the most Google Brain jobs? States with the most job openings for Google Brain jobs include:
What job categories do people searching Google Brain jobs look for? The top searched job categories for Google Brain jobs are:
Google Brain jobs near you
Infographic showing various Google Brain job openings in the United States as of June 2026, with employment types broken down into 67% Part Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $70,250 per year, or $33.8 per hour.

Member of Technical Staff - Compute Platform

Reflection AI, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 28 days ago

Job description

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.
About the Role
Reflection's Compute Platform team specializes in keeping our compute layer healthy and highly available. We run a K8s-based platform distributed across multiple neo-clouds. We manage multi-cloud scheduling, node health, and performance debugging at this scale presents genuinely hard systems problems. More broadly, you will work closely with Reflection's training teams to co-design fault tolerance, node health checks, and remediation strategies.
What You'll Do
  • Cluster Management: Build and maintain tools for the automatic remediation, topology-aware scheduling, capacity planning and rapid hardware debugging.
  • Platform Engineering: Design and iterate on our cluster management stack for workloads across large, multi-GPU fleets
  • Monitoring & Observability: Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking.
  • Roadmap Execution: Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes. Long-term, you will help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.

What We're Looking For
• Systems-level engineering experience with a focus on cluster-wide behavior and maintenance.
• Strong coding ability and a demonstrated focus on systems or GPU infrastructure.
• Deep GPU hardware knowledge beyond standard Kubernetes,e.g., familiarity with NCCL.
• Alignment with a K8s-first architecture
• Cloud storage expertise, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.
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.

Apply