ZipRecruiter

Log In

1

Google Research Scientist Jobs (NOW HIRING)

Collate

AI Research Scientist

San Francisco, CA · On-site +1

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... About the Role We're looking for an AI Research Scientist to push the boundaries of how advanced AI ...

Snorkel AI

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and ... Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $270K/yr

... Google Research). * Experience in biological structure prediction algorithms such as Alphafold2 ... Experience leading scientific collaborations or serving as a technical point of contact for ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $270K/yr

... Google Research). * Experience in biological structure prediction algorithms such as Alphafold2 ... Experience leading scientific collaborations or serving as a technical point of contact for ...

previous pagenext page

Showing results 21-40

All JobsGoogle Research Scientist Jobs

Google Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do google research scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for google research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

How to become a Google research scientist?

To become a Google research scientist, candidates typically need a strong educational background in computer science, engineering, or related fields, often with a Ph.D. or equivalent experience in areas like machine learning, artificial intelligence, or data science. Relevant skills include programming in languages such as Python or C++, experience with research methodologies, and a track record of published research or contributions to open-source projects. Building a strong portfolio of research work and gaining experience through internships or academic collaborations can also improve chances of selection.

What does a Google Research Scientist do?

A Google Research Scientist conducts cutting-edge research to develop new technologies and advance the state of the art in fields such as artificial intelligence, machine learning, natural language processing, and computer vision. They work on both theoretical and applied projects, often collaborating with other researchers and product teams to solve complex problems. Their contributions can lead to innovative features in Google products and may also be published in leading scientific conferences and journals.

How does a Google Research Scientist typically collaborate with cross-functional teams within the company?

As a Google Research Scientist, you can expect to work closely with cross-functional teams, including engineers, product managers, and data analysts. Collaboration often involves sharing research findings, integrating new algorithms into products, and iterating on prototypes based on feedback from other teams. Regular meetings, code reviews, and joint project planning sessions are common, ensuring that research outcomes are aligned with product goals and user needs. This collaborative environment not only accelerates innovation but also provides valuable exposure to diverse perspectives and skill sets.

What is the difference between Google Research Scientist vs Google Data Scientist?

AspectGoogle Research ScientistGoogle Data Scientist
Required CredentialsAdvanced degrees in CS, AI, or related fields; strong research backgroundDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentFocus on research, developing new algorithms, publishing papersFocus on data analysis, building models, supporting product decisions
Employer & Industry UsagePrimarily in research labs, AI teams, academia collaborationsAcross product teams, marketing, and analytics departments

Google Research Scientists primarily focus on advancing AI and machine learning through research and publications, while Google Data Scientists analyze data to inform product decisions and improve user experience. Both roles require strong technical skills, but differ in their core objectives and work environment.

What are the key skills and qualifications needed to thrive as a Google Research Scientist?

To thrive as a Google Research Scientist, a strong background in computer science, mathematics, and research methodology—typically demonstrated by a PhD or equivalent experience—is essential. Proficiency in programming languages like Python or C++, machine learning frameworks (such as TensorFlow or PyTorch), and experience with large-scale data systems are commonly required. Outstanding problem-solving, collaboration, and communication skills set top candidates apart in this role. These capabilities are crucial for driving innovative research, publishing impactful work, and contributing to multidisciplinary team projects at Google.
More about Google Research Scientist jobs

What cities are hiring for Google Research Scientist jobs?

Cities with the most Google Research Scientist job openings:

What states have the most Google Research Scientist jobs?

States with the most job openings for Google Research Scientist jobs include:

What job categories do people searching Google Research Scientist jobs look for?

The top searched job categories for Google Research Scientist jobs are:

Google Research Scientist jobs near you
Infographic showing various Google Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, Gemini Safety

DeepMind

Mountain View, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Snapshot

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Gemini Safety team is accountable for the safety and fairness behavior of GDM's latest Gemini models. The role of the Research Scientist / Research Engineer will be to apply and develop data and algorithmic cutting edge solutions to advance GDM's latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.

About Us

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

We're looking for a versatile Research Scientist at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas. Our team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.

Key responsibilities:
  • Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
  • Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
  • Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks.
  • Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
  • Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
  • Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale
About You

In order to set you up for success as a Research Scientist on the Gemini Safety team  we look for the following skills and experience:

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • Significant LLM post-training experience

In addition, the following would be an advantage: 

  • Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
  • Experience with Long-range Reinforcement learning
  • Experience in areas such as Safety, Fairness and Alignment
  • Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI
  • Experience taking research from concept to product
  • Experience with collaborating or leading an applied research project
  • Experience with JAX

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

 

Apply