Anthropic
Overview
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Team
The Tool Use team within Research is responsible for making Claude the world's most capable, reliable, safe, and efficient model for tool use and agentic applications. The team focuses on the foundational layer — solving core problems such as tool call accuracy, long horizon & complex tool use workflow, large scale & dynamic tools, tool hallucination, tool use safety (e.g. prompt injection robustness), and tool use efficiency. These are foundations to the majority of Anthropic’s customers as well as internal teams building specific agentic capabilities such as coding (including Claude Code), search & deep research, memory, and multi-agents. About The Role
We\u2019re looking for Research Engineers/Scientists to help us advance the frontier of tool use research. Today\u2019s AI agents handle impressive workflows. With tool use adoption accelerating rapidly across our platform, the next generation requires even more breakthrough research: for example, enabling models to reliably orchestrate vast tool ecosystems, maintain safety in autonomous operations, and scale to handle the increasing complexity of real-world tasks. You\u2019ll collaborate with a diverse group of researchers and engineers to advance Claude\u2019s tool use capabilities and safety. You\u2019ll own the full research lifecyclerom identifying fundamental limitations to implementing solutions that ship in production models. We value diverse perspectives and exceptional depth in specific arease it groundbreaking RL research, exceptional engineering, or novel approaches from other quantitative fields. Responsibilities Define and pursue research agendas that push the boundaries of what\u2019s possible Design and implement novel reinforcement learning environments and methodologies that push the state of the art of tool use Build rigorous, realistic evaluations that capture the complexity of real-world tool use Ship research advances that directly impact millions of users Collaborate with other frontier research and product teams to drive fundamental breakthroughs in capabilities and safety, and work with teams to ship these into production Design, implement, and debug code across our research and production ML stacks Contribute to our collaborative research culture through pair programming, technical discussions, and team problem-solving You May Be a Good Fit If You
Are driven by real-world impact and excited to see research ship in production Have strong machine learning research/applied-research experience, or a strong quantitative background such as physics, mathematics, or quant research Write clean, reliable code and have solid software engineering skills Communicate complex ideas clearly to diverse audiences Are passionate about building AI systems that are both powerful and safe Are hungry to learn and grow, regardless of years of experience Strong candidates may also have one or more of the following: Experience with reinforcement learning techniques and environments Experience with language model training, fine-tuning or evaluation Experience building AI agents or autonomous systems Published influential work in relevant ML areas Deep expertise in a specific area (e.g., exceptional RL research, systems engineering, or mathematical foundations) even if still developing in other areas Experience shipping features or working closely with product teams Enthusiasm for pair programming and collaborative research Compensation
Annual Salary The expected salary range for this position is: $315,000 - $425,000 USD Logistics
Education requirements:
We require at least a Bachelor\u2019s degree in a related field or equivalent experience. Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship:
We sponsor visas. If we make you an offer, we will make reasonable efforts to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every qualification as listed. We value diverse perspectives on our team. How We\u2019re Different
We believe that the highest-impact AI research will be big science. Anthropic works as a single cohesive team on a few large-scale research efforts. We value impact and the long-term goal of steerable, trustworthy AI, rather than smaller, puzzle-focused work. We emphasize collaboration and communication skills. The easiest way to understand our research directions is to read our recent work. Our research continues directions such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. How to Apply
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. Guidance on Candidates\u2019 AI Usage: Learn about our policy for using AI in our application process. Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries: Research Services
#J-18808-Ljbffr
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Team
The Tool Use team within Research is responsible for making Claude the world's most capable, reliable, safe, and efficient model for tool use and agentic applications. The team focuses on the foundational layer — solving core problems such as tool call accuracy, long horizon & complex tool use workflow, large scale & dynamic tools, tool hallucination, tool use safety (e.g. prompt injection robustness), and tool use efficiency. These are foundations to the majority of Anthropic’s customers as well as internal teams building specific agentic capabilities such as coding (including Claude Code), search & deep research, memory, and multi-agents. About The Role
We\u2019re looking for Research Engineers/Scientists to help us advance the frontier of tool use research. Today\u2019s AI agents handle impressive workflows. With tool use adoption accelerating rapidly across our platform, the next generation requires even more breakthrough research: for example, enabling models to reliably orchestrate vast tool ecosystems, maintain safety in autonomous operations, and scale to handle the increasing complexity of real-world tasks. You\u2019ll collaborate with a diverse group of researchers and engineers to advance Claude\u2019s tool use capabilities and safety. You\u2019ll own the full research lifecyclerom identifying fundamental limitations to implementing solutions that ship in production models. We value diverse perspectives and exceptional depth in specific arease it groundbreaking RL research, exceptional engineering, or novel approaches from other quantitative fields. Responsibilities Define and pursue research agendas that push the boundaries of what\u2019s possible Design and implement novel reinforcement learning environments and methodologies that push the state of the art of tool use Build rigorous, realistic evaluations that capture the complexity of real-world tool use Ship research advances that directly impact millions of users Collaborate with other frontier research and product teams to drive fundamental breakthroughs in capabilities and safety, and work with teams to ship these into production Design, implement, and debug code across our research and production ML stacks Contribute to our collaborative research culture through pair programming, technical discussions, and team problem-solving You May Be a Good Fit If You
Are driven by real-world impact and excited to see research ship in production Have strong machine learning research/applied-research experience, or a strong quantitative background such as physics, mathematics, or quant research Write clean, reliable code and have solid software engineering skills Communicate complex ideas clearly to diverse audiences Are passionate about building AI systems that are both powerful and safe Are hungry to learn and grow, regardless of years of experience Strong candidates may also have one or more of the following: Experience with reinforcement learning techniques and environments Experience with language model training, fine-tuning or evaluation Experience building AI agents or autonomous systems Published influential work in relevant ML areas Deep expertise in a specific area (e.g., exceptional RL research, systems engineering, or mathematical foundations) even if still developing in other areas Experience shipping features or working closely with product teams Enthusiasm for pair programming and collaborative research Compensation
Annual Salary The expected salary range for this position is: $315,000 - $425,000 USD Logistics
Education requirements:
We require at least a Bachelor\u2019s degree in a related field or equivalent experience. Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship:
We sponsor visas. If we make you an offer, we will make reasonable efforts to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every qualification as listed. We value diverse perspectives on our team. How We\u2019re Different
We believe that the highest-impact AI research will be big science. Anthropic works as a single cohesive team on a few large-scale research efforts. We value impact and the long-term goal of steerable, trustworthy AI, rather than smaller, puzzle-focused work. We emphasize collaboration and communication skills. The easiest way to understand our research directions is to read our recent work. Our research continues directions such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. How to Apply
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. Guidance on Candidates\u2019 AI Usage: Learn about our policy for using AI in our application process. Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries: Research Services
#J-18808-Ljbffr