Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $216,000 |
| Median | $248,000 |
| 75th percentile | $310,000 |
| Lowest listing | $151,000 |
| Highest listing | $850,000 |
| Listings counted | 91 |
| Company | Open listings | Median pay |
|---|---|---|
| NVIDIA | 27 | $216,000 |
| OpenAI | 13 | $440,000 |
| Anthropic | 9 | $310,000 |
| Anduril Industries | 5 | $195,000 |
| Snorkel AI | 4 | $281,000 |
| Nuro | 4 | $266,000 |
| Waymo | 4 | $238,000 |
| Luma AI | 3 | $295,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 87 | $248,000 | $216,000 to $310,000 |
We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems.
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
Develop scalable data curation and processing methods that improve model training and task-specific performance. Build production-ready AI systems using strong software engineering practices.
Define a high-impact research agenda and lead projects that advance AI models and agents for cybersecurity and apply them to important security problems.
Define a high-impact research agenda and lead projects in AI-enabled secure system design, implementation, analysis, and verification.
Conduct research in Generative AI , with focus areas including agentic coding, agentic commerce, AI agents, large language models, reasoning, planning, and retrieval-augmented generation.
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems.
Research, design, and implement novel, large-scale generative AI methods. Publish original research. Collaborate with team members, research teams, as well as product teams. Speak at conferences and events. Transfer technology to product groups.
Advance the security, safety, and privacy of AI models and systems across the full lifecycle, including data collection, training, model and agent behavior, inference, deployment, and platform operations.
Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales.
Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
Research, design, and implement novel, large-scale generative AI methods. Publish original research. Collaborate with team members, research teams, as well as product teams. Speak at conferences and events. Transfer technology to product groups.
Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.
Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems. Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training.
NVIDIA · 14d ago
Designing and implementing cutting-edge techniques for autonomous vehicles, robotics, and physical AI. Conducting original research and publishing your results. Collaborating with research colleagues, internal product teams, and external researchers.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Multimodal understanding: build vision-language systems that let Descript's agentic editing features reason over the visual and audio content of a project.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Anduril Industries · 12d ago
Anduril’s Senior Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference.
Anduril’s Research Scientists excel at developing state-of-the-art algorithms and software that solve scientific problems with real-world applications. Working in small, innovative teams, our research scientists create impactful solutions that make a difference.
The mandate of the learned behavior team is to use advanced machine learning techniques to accelerate software progress.
Buyers of business software increasingly need to know how well AI agents actually perform, not just what vendors claim. This is the most senior applied research role on that work, and it is hands-on.
As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering while collaborating with experienced researchers and engineers.
As a Research Scientist on the Agent Flywheel team, you will build the context layer for recursive self-improvement and autofix loops for agents: turning raw production session traces from Databricks’ data agents into online signals agents can optimize against.
We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation.
We are looking for an Applied Research Scientist to join our computational engineering applied research team!
Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
Designing and implementing cutting-edge techniques in the field of vehicle autonomy. Publish and present your original research, speak at conferences and events. Collaborate with other research team members, a diverse set of internal product teams, and external researchers.
Conduct original research in the space of generative AI. Implement and train large-scale generative AI models for various content creation applications. Collaborate with other research team members, a diverse set of internal product teams, and external researchers.
Develop novel architectures and system software implementations to enable scalable multi-GPU platforms. Understand and analyze the interplay between operating systems, CPU and GPU architectures, and efficient algorithm designs.
Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems. Develop creative hardware, software, and algorithms to enable trustworthy AI systems with strong and verifiable security, privacy, and safety guarantees.
Explore circuit approaches to optimizing processor computation and interconnect performance and power. Design and implement circuit approaches in prototype systems.
Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents; Develop large-scale AI training and inference methods for foundation models; Optimize and deploy AI models in physical simulation and on robot hardware;
Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
Researching and designing multimodal search and curation systems optimized for Physical AI data — video, lidar, radar, text, and more.
Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference.
The People Analytics team helps leaders make better, evidence-based talent decisions.
Anduril Industries · 12d ago
Anduril’s Senior Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference.
Anduril’s Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference.
The median Research Scientist salary in our $200k+ listings is $248,000 a year, based on 91 live USD listings. The middle half of listings pays $216,000 to $310,000. These figures cover only listings that publish a salary of $200k+ or more, so they sit above pay for Research Scientist roles overall.
Individual $200k+ Research Scientist listings range from $151,000 to $850,000 a year. The 25th percentile of listing midpoints is $216,000 and the 75th percentile is $310,000.
The companies with the most open $200k+ Research Scientist listings are NVIDIA (27 listings, median $216,000), OpenAI (13 listings, median $440,000), Anthropic (9 listings, median $310,000), Anduril Industries (5 listings, median $195,000) and Snorkel AI (4 listings, median $281,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 13, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
