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Google Brain Jobs (NOW HIRING)

Brain Corp

Software Engineer II, Data Engineering

San Diego, CA · On-site

$121K - $146K/yr

Brain Corp is a San Diego-based AI company creating transformative core technology for the robotics ... Google Cloud and their data ecosystem • Familiarity with BI tools (e.g., Tableau, Power BI) and ...

MintMCP

Account Executive

San Francisco, CA · On-site

Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera. The Job You will carry a full book: handle ...

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MintMCP

Software Engineer

San Francisco, CA · On-site

Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera. The Job You will own features end to end ...

MintMCP

Founding Marketer

San Francisco, CA · On-site

$21.25/hr

Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera. The Job You own how MintMCP grows. Turn heavy ...

New

Orbit Neuro

Expression of Interest

San Francisco, CA · On-site

... brain-computer interfaces and AI, join us. We're backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face ...

BrainCo

Product Designer

San Francisco, CA · On-site

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments ...

LearningRx

Assistant Director

Vienna, VA · On-site

$50K/yr

Paid Training Company Overview LearningRx centers are part of a brain training system specializing ... Strong technical skills in Microsoft Office Suite, social media, and Google apps Assistant Director ...

LearningRx

Assistant Director

Brookfield, WI · On-site

$55K - $75K/yr

... brain training system specializing in targeting and training cognitive skills for people of all ... Strong technical skills in Microsoft Office Suite, social media, and Google apps * Ability to ...

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Google Brain information

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$21.5K

$70.3K

$164.5K

How much do google brain jobs pay per year?

As of Jul 15, 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.

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 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.

More about Google Brain jobs
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 July 2026, with employment types broken down into 6% As Needed, 61% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $70,250 per year, or $33.8 per hour.
Software Engineer II, Data Engineering

Software Engineer II, Data Engineering

Brain Corp

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Brain Corp is a San Diego-based AI company creating transformative core technology for the robotics industry. The Software Engineer II, Data Engineering will design and maintain the data infrastructure that powers the BrainOS platform, focusing on building scalable data pipelines and ensuring data system integrity and performance.
Responsibilities:
• Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data
• Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives
• Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources
• Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs
• Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards
• Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues
Qualifications:
Required:
• BS or MS in Computer Science or applicable engineering discipline
• 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering
• Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript)
• Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL)
• Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming)
• Understanding of data governance, security, and compliance best practices
• Strong problem-solving skills and ability to work independently on projects
• Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support
• Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders
Preferred:
• Experience with machine learning models and data science methodologies
• Experience with Google Cloud and their data ecosystem
• Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark)
• Experience with infrastructure as code (e.g., Terraform, Pulumi) and containerization and orchestration tools (e.g., Docker, Kubernetes)
Company:
Brain Corp develops core technology for the robotics industry. Founded in 2009, the company is headquartered in San Diego, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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