380 AI Research Firms jobs in the United States

Who are we?

Coastal Carbon is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we’re backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.

What do we do?

We’re building multimodal foundation models for the natural world. We believe there’s more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.

About the role

We are looking for an AI Research Scientist to join our team and contribute to designing and building cutting-edge models.

The role will involve:

• Research & Design:

  • Deep understanding of current machine learning research.

  • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.

  • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.

  • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.

• Implementation:

  • Developing high-level proof-of-concept (POC) models.

  • Experimenting with new state-of-the-art techniques to surpass existing models.

  • Plan and execute innovative research and development to push the boundaries of current technology.

• Writing and Publication:

  • Assisting in the preparation and writing of technical and scientific papers for publication.

  • Demonstrated strong scientific communication/presentation skills.

Requirements

• PhD degree in computer science, engineering, a related field, or equivalent experience.

• Proven track record of successful machine learning research projects

• 5+ years of experience in relevant jobs

• Strong scientific understanding of the field of generative AI

• Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

• Location wise, strong preference for in-person in San Francisco. We are an entirely in-person team, but are willing to consider remote for exceptional candidates.

Nice to have

• Proficiency in scripting languages such as Python, Bash, or PowerShell.

• Demonstrated experience with deep learning and transformer models.

• Familiarity with designing, training, and fine-tuning large models.

• Proficiency in frameworks like PyTorch or TensorFlow.

• Strong technical engineering skills.

• Previous experience in creating high-performance implementations of deep learning algorithms.

• Team player, willing to undertake various tasks to support the team.

Chai Discovery is unlocking new biology with artificial intelligence by building state-of-the-art foundation models. The company is operating in stealth mode by a highly experienced founding team, who are well known in the AI community for seminal research accomplishments at top AI labs, have run AI departments at top AI x Biology organizations, have exited a past company via IPO, and sold AI technologies to multiple top 10 pharma companies. The company is backed with significant capital by top-tier investors.

Chai Discovery is seeking a highly experienced AI Research Scientist to play a crucial role in the development of our next-generation AI x biology foundation models and application to real-world drug discovery challenges. The AI Research Scientist will work closely with the founding team to design and implement AI-powered solutions to complex problems in the drug discovery pipeline.

• Design, implement, and evaluate novel AI models tailored for drug discovery applications, such as protein design and small molecule discovery.

• Manage and lead large-scale machine learning research projects, ensuring they align with business goals.

• Scale our models on massive datasets in a distributed fashion across many GPU nodes.

• Develop innovative new techniques focused on large-scale models for biomolecular design.

• Develop robust and scalable AI pipelines to process, analyze, and interpret large-scale biological and chemical datasets.

• Stay updated on the latest advancements in AI research and bioengineering, communicate insights to the broader team, and incorporate relevant techniques into the company’s research agenda.

• Work closely with software engineers to integrate AI models into production systems, platforms,

• and front-end applications.

• Support customers on the deployment of our systems into real-world drug discovery workflows.

• Participate in writing research papers, patent applications, and case studies.

• Master’s or PhD in Computer Science, Computational Biology, Bioinformatics, or a related field.

• Minimum of 5 years of hands-on deep learning model development, with expertise in PyTorch, JAX or Tensorflow.

• Strong foundation in machine learning, deep learning, and AI algorithms.

• Demonstrated ability to independently lead research projects, for example by publishing research at top conferences or serving as a staff+ engineer in top industry functions.

• Previous experience applying AI to biomolecular data is a plus.

• Experience managing technical teams or leading complex technical projects is a plus.

• Highly engaging work at the frontier of AI-driven drug discovery that will fundamentally change how new drugs are created.

• Opportunity to work with world-renowned leaders in the AI x biology ecosystem who have created some of the most impactful advancements to date and led highly successful technology careers.

• Highly competitive salary

• Highly competitive equity package

• Healthcare and wellness benefits

• Continuous learning and career growth opportunities

• Collaborative and supportive startup culture

• A high-energy team who are guided by our mission to increase the efficiency of creating new medicines and positively impact millions of lives.

Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply.

Join to apply for the Research/AI Scientist role at Weave

2 days ago Be among the first 25 applicants

Join to apply for the Research/AI Scientist role at Weave

Why Weave Exists

At Weave, our mission is to evolve how therapeutic knowledge is communicated, transformed, and worked upon. We are doing so by equipping human minds with AI instruments to enable the best drugs to be brought to patients as rapidly, safely, and inexpensively as possible.

Why Weave Exists

At Weave, our mission is to evolve how therapeutic knowledge is communicated, transformed, and worked upon. We are doing so by equipping human minds with AI instruments to enable the best drugs to be brought to patients as rapidly, safely, and inexpensively as possible.

The Weave Platform streamlines regulatory submission preparation and lifecycle management by imbuing most aspects of the workflow with AI, including data organization, drafting, review, and verification. Weave is building the foundation for a singular AI workbench for the entire therapeutic lifecycle.

The Role & Your Mission

Weave accelerates the way therapeutic knowledge is created, organized, and shared. The Research team fuels the engine running that mission—turning novel and state-of-the-art AI into practical and impactful capabilities and open science contributions. Your work will:

• Super-charge Weave's people with internal tools that cut busy-work for product, engineering, and commercial teams.
• Elevate our platform by inventing and benchmarking algorithms that make LLM-powered workflows much more reliable and robust.
• Advance the field through peer-reviewed papers, open datasets, and collaborations with leading academic & industry labs.
  
  

• Invent & prototype new ideas: turn white-board ideas into controlled experiments and live demos.
• Push LLM frontiers: combine large-language models with retrieval, symbolic reasoning, or classic ML; optimize for accuracy, reliability, robustness, latency, and cost.
• Measure ruthlessly: Define crisp hypotheses, select fit-for-purpose metrics (incl. human-in-the-loop), run statistically sound studies, and iterate fast.
• Publish & open-source: Write high-quality papers, release evaluation suites, and present at NeurIPS/ACL/ICML—or local meet-ups if that's your style.
• Seed the future: Maintain a balanced portfolio: near-term product wins, mid-term reliability projects, and "moon-shot" research that could 10× our differentiation.
• Level-up the team: Lead paper clubs, mentor interns & junior scientists, and model best practices in reproducible science and kind collaboration.
  
  

• PhD (or equivalent depth) in ML, Physics, Math, Engineering, computational linguistics, or a closely related field.
• Proven research chops: First-author publications at top venues (NeurIPS, ACL, ICML, EMNLP, etc.).
• LLM mastery: experience fine-tuning, prompt-engineering, and augmenting models with external knowledge/tooling.
• Experimental rigor: fluent in benchmarking, statistical testing, and clear visualization of complex results.
• Production-grade coding: Python + ML stacks (PyTorch/JAX), version control, and comfort reading & contributing to large codebases; bonus for database fluency (Neo4j, Postgres, MongoDB).
• Storytelling skills: you can explain a log-probability trick to executives and translate product pain-points into concrete research questions.
• Bonus points for: open-source maintainer experience, safety/bias evaluation expertise, or a successful track record of bridging academia and industry.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Pharmaceutical Manufacturing

Referrals increase your chances of interviewing at Weave by 2x

Get notified about new Artificial Intelligence Researcher jobs in San Francisco, CA .

Redwood City, CA $160,000.00-$20,000.00 1 year ago

San Francisco, CA 205,000.00- 300,000.00 3 months ago

San Francisco, CA 166,000.00- 244,000.00 3 days ago

Alameda, CA 116,000.00- 145,000.00 3 days ago

San Francisco, CA 125,000.00- 215,000.00 5 months ago

San Francisco, CA 125,000.00- 215,000.00 2 weeks ago

San Francisco, CA 257,000.00- 285, hours ago

San Francisco, CA 425,000.00- 560,000.00 2 weeks ago

San Mateo, CA 138,000.00- 245,000.00 1 week ago

San Francisco, CA 120,000.00- 180,000.00 2 weeks ago

San Francisco, CA 140,670.00- 195,400.00 4 days ago

San Francisco, CA 88,000.00- 140,000.00 1 month ago

San Francisco, CA 120,000.00- 210,000.00 3 weeks ago

San Francisco, CA 100,000.00- 180,000.00 1 year ago

San Francisco, CA 120,000.00- 180,000.00 6 months ago

San Francisco, CA 180,000.00- 240,000.00 2 weeks ago

San Francisco, CA 3,500.00- 11,500.00 2 months ago

San Francisco, CA 137,100.00- 334, minutes ago

San Francisco, CA 115,000.00- 185,000.00 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Chai Discovery is unlocking new biology with artificial intelligence by building state-of-the-art foundation models. The company is operating in stealth mode by a highly experienced founding team, who are well known in the AI community for seminal research accomplishments at top AI labs, have run AI departments at top AI x Biology organizations, have exited a past company via IPO, and sold AI technologies to multiple top 10 pharma companies. The company is backed with significant capital by top-tier investors.

Chai Discovery is seeking an AI Engineer to play a crucial role in developing our next-generation AI x biology foundation models and application to real-world drug discovery challenges. The AI Engineer will work closely with the founding team to build, optimize, and maintain the software and infrastructure that power our AI-driven drug discovery pipeline. This position is based full-time in San Francisco, CA.

• Collaborate with AI researchers to design, implement, and maintain software systems that support AI-driven drug discovery applications.

• Develop and optimize high-performance computing (HPC) infrastructure.

• Integrate AI models into production systems, platforms, and front-end applications, ensuring scalability and reliability.
  

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Strong proficiency in programming languages such as Python .

• Deep understanding of operating system internals (Unix).

• Experience with high-performance computing (HPC) infrastructure such as Slurm and Kubernetes.

• Experience with performance engineering (familiarity with profiling tools, optimizing CPU and GPU workloads, writing CUDA and Triton kernels, and so forth)

• Experience writing, building, and maintaining large-scale ETL pipelines.

• Experience using deep learning libraries such as PyTorch.
  

• Highly engaging work at the frontier of AI-driven drug discovery that will fundamentally change how new drugs are created.

• Opportunity to work with world-renowned leaders in the AI x biology ecosystem, contributing to impactful advancements in the field.

• Highly competitive salary and equity package.

• Comprehensive healthcare and wellness benefits.

• Continuous learning and career growth opportunities.

• Collaborative and supportive startup culture.

• A high-energy team committed to increasing the efficiency of creating new medicines and positively impacting millions of lives.
  

Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply.

Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.

Solve complex biological problems via robust high impact experimental design and critical judgements on project viability. Publish world-class scientific research papers.

• Drive foundational research in ML for biological problems, setting ambitious agendas and leading their execution.

• Conceptualize and develop novel foundation models, scaling them across massive, complex biological datasets.

• Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data.

• Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists.

• Publish influential research in leading journals and conferences, establishing thought leadership in BioAI.

• Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture.

In 1 month you will be responsible for:

• Deeply understanding our existing biological datasets, research infrastructure, and current foundation-model architecture.

• Formulating clear hypotheses and a prioritized roadmap for foundational model research, including immediate experimental directions.

• Establishing close relationships with interdisciplinary teams (ML engineers, computational biologists, experimental scientists), ensuring effective collaboration.

In 3 months you directly own and have created:

• A prototype or early iteration of a novel AI foundation model specifically designed or fine-tuned for biological datasets.

• Initial experimental results demonstrating significant potential for improving predictive accuracy or biological insights, validating your chosen research direction.

• A clear research proposal and experimental framework presented internally.

In 6 months you have:

• Delivered substantial progress on a state-of-the-art genomic foundation model, validated through rigorous benchmarking and demonstrating measurable biological or clinical impact.

• Authored (or prepared for submission) a manuscript targeting top-tier conferences or journals, clearly establishing the team as a thought leader in BioAI.

• Started mentoring junior team members, actively shaping the scientific and cultural growth of your research team.

• Built productive collaborations across internal and external teams, significantly contributing to the company’s reputation and scientific credibility in AI-driven genomics.

• Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.

• Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.

• Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.

• Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.

Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.

We arrange our lives so we can work in person as much as possible.

• Exceptional performance at exceptional pace

  • The solutions we build demand uncompromising quality and rigour.

  • The problems we are solving are grave and present.

• Inquisitive discovery

  • We embrace curiosity and creativity.

  • Every question is a path to a transformational breakthrough.

• Radical candour

  • We practice unwavering honesty and transparency in all our challenges and interactions.

• Purposeful individuality

  • Every individual in our team is celebrated for their identity, uniqueness, and experiences.

  • We are invested in each one’s bespoke personal development.

  • Nurturing individuality will supercharge our collective purpose and spirit.

• Patient impact at scale

  • We have a steadfast commitment to improve the health and well-being of patients globally.

  • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

You want to redefine what’s possible at the frontier of AI and biology. You’re intellectually curious, ambitious, and passionate about applying AI to biology. You thrive in interdisciplinary teams, possess an entrepreneurial spirit, and embrace the uncertainty and excitement of pioneering research.

• Experience of leading and building highly collaborative research teams.

• High agency with the ability to jump on any task as needed.

• Hands on end-to-end development of high impact publications that use ML methodologies to solve biological problems.

• Proven track record developing state-of-the-art ML models, ideally including transformers, diffusion models, or multimodal architectures.

• Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data).

• Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks.

• Experience managing large-scale distributed training across GPUs/TPUs.

• Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning.

Our interview process is hard from the beginning, so please do come prepared to show us your strongest self. Marie is based in SF and Hannah in London - we are both available to support this process.

We promise to communicate clearly about our process, look for your strengths, be transparent in our feedback and listen to your feedback - we are always learning.

The interview steps are listed below. 1-3 are done remotely over video call. Our preference for 4-7 is in person, but remote is possible too. At stage 4 more information will be shared about the following steps.

1. Screen with Marie or Hannah

2. Meet Ravi

3. CV Deep Dive

4. Take Home Technical Challenge & Discussion

5. Analysis Challenge with Ravi

6. Systems Design & Live Coding

7. Presentation of your work to the wider team

AI Research Scientist

• Design and evaluate novel AI/ML models across foundational and applied domains
• Drive innovation in LLMs, deep learning, and reinforcement learning techniques
• Collaborate with cross-functional teams to bring research into production
• Publish, present, and patent high-impact findings in AI and machine learning
• Conduct cutting-edge research in artificial intelligence, including natural language processing, computer vision, generative models, and reinforcement learning
• Design and implement novel algorithms and model architectures for experimentation and deployment
• Analyze large-scale datasets to extract insights, train models, and validate hypotheses
• Collaborate with engineering teams to translate research into scalable solutions and production-ready systems
• Stay current with the latest literature and contribute to the AI research community through papers, presentations, or patents
• Build and evaluate proof-of-concept systems and prototypes for real-world application
• Mentor junior researchers and data scientists in scientific rigor, model development, and experimentation
• Support internal IP development and contribute to strategic technical roadmaps

• Advanced degree (Ph.D. or Master’s) in Computer Science, Machine Learning, Mathematics, or a related field
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred
• Expertise in machine learning, deep learning, or statistical modeling
• Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks
• Proficiency in Python and familiarity with large-scale data processing
• Solid understanding of model evaluation, optimization techniques, and deployment workflows
• Ability to independently design and drive research agendas with business impact

Join a world-class team of scientists and engineers pushing the boundaries of what’s possible with AI. Your research will not only advance the field—it will shape real-world applications across industries.

We are an innovation-first organization bridging advanced research and product development. Our work combines rigorous experimentation with practical application, bringing novel AI solutions to life in scalable, meaningful ways.

• Seniority level: Associate
• Employment type: Full-time
• Job function: Research, Engineering, and Information Technology
• Industries: Research Services, IT Services and IT Consulting, and Financial Services

Location: San Francisco, CA

Salary: $140,000.00-$180,000.00

Overview

Join to apply for the AI Research Engineer role at Cactus (YC S25) .

This range is provided by Cactus (YC S25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$120,000.00/yr - $80,000.00/yr

Cactus is a cross-platform open-source framework for running AI models locally on smartphones. Cactus ships Kernels & AI engine for running AI locally on mobile devices; CUDA for phones. App developers can now deploy AI models locally in their mobile apps. Cactus completed a highly oversubscribed fundraising round and now actively scaling the engineering team.

AI Research Engineers read papers and replicate models/techniques in Cactus. They also build and maintain Python tools for porting JAX/PyTorch models to Cactus graphs. They synergize strong mathematical foundations, intimate understanding of machine learning frameworks and experience with foundation models. AI research engineers also work with model companies to get them started with Cactus. This role requires ownership and high sense of agency.

• Masters/PhD degree in CS/Maths/AI/Physics, or relevant experience
• Strong background in Python, PyTorch/JAX internals
• Experience with deep learning and SOTA LLM/VLM/TTS
• Experience with C++ and ml inference is preferred
• Ability to work collaboratively in a team environment
• A sense of urgency and interest in startups

• 120,000 - 180,000 base salary
• Generous equity based on experience
• Health insurance, gym membership, etc.
• Work at a YC startup experience

Cactus Repo :

• Entry level

• Full-time

• Engineering and Information Technology

• Research Services

Referrals increase your chances of interviewing at Cactus (YC S25) by 2x

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.

Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.

• Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent.
• Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications.
• Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process.
• Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams.
• Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates.
• Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends.

• Have 5+ years of experience in full life cycle recruiting supporting technical research teams.
• Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations.
• Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies.
• Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities.
• Possess strong technical aptitude with the ability to understand and evaluate technical qualifications.
• Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research.
• Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy.
• Have experience partnering with researchers and hiring talent that work on GenAI and LLMs.
• Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment.

• Bring a deep interest in AI safety research.
• Have experience with academic recruitment and research communities.

None. Applications will be reviewed on a rolling basis.

Education requirements: We require at least a Bachelor's 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. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort 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 single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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 lovely office space in which to collaborate with colleagues.

* indicates a required field

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.

Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.

• Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent
• Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
• Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
• Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
• Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
• Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends

• Have 5+ years of experience in full life cycle recruiting supporting technical research teams
• Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations
• Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
• Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
• Possess strong technical aptitude with the ability to understand and evaluate technical qualifications
• Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research
• Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
• Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
• Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment

• Bring a deep interest in AI safety research
• Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
• Have experience with academic recruitment and research communities

None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

$170,000 - $275,000 USD

Education requirements: We require at least a Bachelor's 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. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort 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 single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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 lovely office space in which to collaborate with colleagues.

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

AI Policy for Application * Select.

While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree.

(Optional) Personal Preferences

How do you pronounce your name?

Website

LinkedIn Profile

Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two.

Do you have any deadlines or timeline considerations we should be aware of?

When is the earliest you would want to start working with us?

This role is based in San Francisco. Are you currently based in San Francisco or are you open to relocating upon employment? * Select.

Are you legally authorized to work in the country in which the job you are applying for is located? * Select.

Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select.

Why Anthropic? *

Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.)

Please share one recruiting accomplishment or process improvement you're proud of and why. *

What is one piece of Anthropic's research or one of Anthropic's research directions that has been particularly intriguing to you and why? *

Anthropic has published extensive research across multiple domains, and this role will require deep engagement with our research. However, we recognize that our research can be quite technical - we don't expect you to get too deep for this question, and suggest a 200 word maximum.

Additional Information

Add a cover letter or anything else you want to share.

Have you ever interviewed at Anthropic before? * Select.

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Anthropic’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select.

Form CC-305

Page 1 of 1

OMB Control Number

Expires 04/30/2026

Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026
Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at .

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

• Alcohol or other substance use disorder (not currently using drugs illegally)
• Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
• Blind or low vision
• Cancer (past or present)
• Cardiovascular or heart disease
• Celiac disease
• Cerebral palsy
• Deaf or serious difficulty hearing
• Diabetes
• Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
• Epilepsy or other seizure disorder
• Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
• Intellectual or developmental disability
• Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
• Missing limbs or partially missing limbs
• Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
• Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
• Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
• Partial or complete paralysis (any cause)
• Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
• Short stature (dwarfism)
• Traumatic brain injury

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.