San Francisco, California, United States · Hybrid
$350k–$850k/yr
About Anthropic 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 co…
Skills: Large Language Models, Pretraining, Fine-tuning, Reinforcement Learning, Evaluation Design
San Francisco, California, United States · On-site
$179k–$307k/yr
MKTQ327R31 The Director, Americas Field Marketing, will lead the transformation of field marketing from event-centric to pipeline-obsessed, driving measurable revenue impact across half of our Americas business for Digit…
Skills: Pipeline Generation, Demand Generation, ROI Analysis, Revenue Attribution, Conversion Optimization
San Francisco, California, United States · On-site
$175k–$300k/yr
GAQ327R302 Databricks is seeking a seasoned compensation leader to serve as a Director, Compensation, driving strategic impact across the business while leading and developing a team of client compensation partners. Repo…
Skills: Compensation Expertise, Analytical Skills, Data Analysis, Job Architecture, Compensation Frameworks
San Francisco, California, United States · Remote OK
$192k–$264k/yr
Req ID - FEQ327R499 Location: San Francisco Bay Area, CA While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Western United States. The Databr…
Skills: Technical Pre-sales Leadership, Solutions Architecture, Data Engineering, Data Science, Artificial Intelligence
San Francisco, California, United States · On-site
$174k–$300k/yr
(GAQ327R299) Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our GTM (Go To Market) org. This role will support long-term business ob…
Skills: Compensation Solutioning, Job Architecture, Market Pricing, Pay For Performance Design, Analytical Skills
San Francisco, California, United States · On-site
$174k–$300k/yr
(GAQ327R301) Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics & Intelligence function. This role will provide centralized compensation analytics and intelligence to drive b…
Skills: Compensation Analytics, SQL, Google Sheets, Excel, Tableau
San Francisco, California, United States · On-site
SLSQ327R552 -San Francisco -Seattle We are looking for an Enterprise Sales Director to join our growing Media business in the East Coast. You will lead a team of Enterprise Account Executives and you will be measured by …
Skills: Enterprise Sales, Team Leadership, Value Selling, MEDDPICC, Challenger Sale
San Francisco, California, United States · On-site
$190k–$270k/yr
About Databricks Databricks is the Data + AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 — rely on the Databricks Lakehouse Platform to un…
Skills: LLMs, Agents, Reinforcement Learning, Post-training Workflows, Autonomous Planning
San Francisco, California, United States · Remote OK
$200k–$275k/yr
GAQ327R178 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We're building a finance function that stays ahead of the curve — leveraging AI, autom…
Skills: Global Close Process, Consolidations, US GAAP, SAP, Intercompany Accounting
San Francisco, California, United States · Remote OK
$200k–$275k/yr
GAQ327R177 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We're building a finance function that stays ahead of the curve — leveraging AI, autom…
Skills: U.S. GAAP, Global Close Management, People Management, SOX Compliance, SAP Implementation
San Francisco, California, United States · Remote OK
$146k–$200k/yr
GAQ327R255 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We're building a finance function that stays ahead of the curve — leveraging AI, autom…
Skills: U.S. GAAP, SAP S/4HANA, Financial Close Process, AI and Automation, Public Accounting
San Francisco, California, United States · Remote OK
$151k–$260k/yr
GAQ127R57 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery …
Skills: US Payroll Tax, Canadian Payroll Compliance, Equity Payroll Management, Workday Payroll, ADP Smart Compliance
San Francisco, California, United States · On-site
$131k–$225k/yr
MKTQ227R16 Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecuri…
Skills: Product Marketing, Go-To-Market Strategy, Enterprise Security Software, Demand Generation, Content Marketing
San Francisco, California, United States · On-site
$190k–$265k/yr
P-1930 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthro…
Skills: Backend Engineering, Infrastructure Engineering, Distributed Systems, Scalable APIs, Cloud-Native Infrastructure
San Francisco, California, United States · On-site
Location: Burma Love Valencia (San Francisco) Position: Bartender Salary: $19.61 + Tips (Hourly) Calling all foodies, the passionate, the inspired! At Burma Food Group, we are more than just a company - we are a family o…
Skills: Mixology, Customer Service, Verbal Communication, Interpersonal Skills, Inventory Management
San Francisco, California, United States · On-site
Company Description PIER 39 is the premiere entertainment destination in the heart of the San Francisco waterfront. Along with two levels of dining, entertainment, shopping and attractions both on The PIER and in San Fra…
Skills: Physical Security, Public Service, Customer Service, Water Rescue, Fire Suppression
San Francisco, California, United States · Hybrid
$180k–$230k/yr
Dealpath is modernizing its approach to software quality. We're moving from a centralized manual QA team to a model where delivery teams own quality end-to-end, supported by embedded Quality Engineers. We need a Principa…
Skills: Quality Engineering, SDET, Automation Frameworks, AI Evals, Playwright
San Francisco, California, United States · On-site
Location: Burma Love Chase Center (San Francisco) Position: Bartender Salary: $19.61 + Tips (Hourly) Calling all foodies, the passionate, the inspired! At Burma Food Group, we are more than just a company - we are a fami…
Skills: Mixology, Customer Service, Verbal Communication, Interpersonal Skills, Inventory Management
San Francisco, California, United States · On-site
Location: Burma Love Chase Center ( San Francisco) Position: Busser Salary: $19.61 + Tips (Hourly) Calling all foodies, the passionate, the inspired! At Burma Food Group, we are more than just a company - we are a family…
Skills: Table Resetting, Guest Service, Multitasking, Teamwork, Communication
San Francisco, California, United States · On-site
$85k–$90k/yr
Location: Teakwood by Burma Love (San Francisco) Position: Kitchen Manager Salary: $85,000 – 90,000 (DOE) **We are seeking candidates with 5-7 years of experience in Asian cuisine, preferable Burmese, Thai and/or C…
Skills: Kitchen Management, Asian Cuisine, Wok Cooking, Inventory Control, Staff Training
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Identify and measure signals of AI R&D acceleration and build quantitative models of capability growth. Run experiments to test hypotheses on automation and provide graded assessments for internal and public reporting.
Requires hands-on research experience with large language models and strong quantitative reasoning skills. Candidates should be able to design evaluations from vague questions and be motivated by AI safety and impact.
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.
We're looking for a Research Scientist who has done hands-on research on large models (pretraining, fine-tuning, RL, evals, or agents scaffolds) and wants to focus on measuring and understanding recursive-self-improvement. You know what the model-development loop looks like from the inside: which signals matter and where the real bottlenecks are. On this team you'll use that judgment to decide what's worth measuring, design the evaluations and models that measure it, and interpret what the results mean for how fast this is moving.
We're hiring at both junior and senior levels. Senior researchers should be comfortable doing hands-on technical work alongside setting research direction.
Identify the signals that track AI R&D acceleration and design the evaluations that measure them
Build quantitative models of capability growth and self-improvement dynamics, grounded in evaluation and telemetry data
Run experiments and evals to test hypotheses about automation and capability
Make opinionated research bets and own the outcome
Write graded assessments of what our measurements show, for internal decision-makers and public reporting
Collaborate with pretraining, RL, economic research, and policy teams
Have done hands-on research on large language models: pretraining, fine-tuning, RL, evals, or agent systems
Have strong quantitative instincts, are comfortable with quantitative modeling and reasoning
Have experience in forecasting, may have published AI forecasting scenarios
Can design an evaluation from a vague question and defend the methodology
Write clearly and calibrate: state confidence, name what would change your conclusion
Are motivated by impact: comfortable with work whose output is graded assessments and system-card sections more often than papers
Care about AI safety and think carefully about where rapid capability growth leads
Trained or RL'd frontier models hands-on
Experience with scaling laws, capability forecasting, or emergent-capability studies
A physics, applied-math, or similarly quantitative background that moved into ML
Written a system card section, capability report, or methodology document that others cite
Experience supervising and correcting AI-written code
Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration
AI R&D capability assessments in the Claude system cards
When AI Builds Itself: all data in the article comes from our team
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
