Research Scientist, Agent Robustness Scale AI, Inc.Research Scientist, Agent RobustnessSan Francisco, CA$216,000–$270,000 / yearFor example, you might: Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them; Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment; Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use; Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Equity Research Associate, Biotechnology BTIG, LLCEquity Research Associate, BiotechnologySan Francisco, CA$90,000–$150,000 / yearThe firm's core capabilities include global execution, portfolio, electronic and outsource trading, investment banking, prime brokerage, capital introduction, corporate access, research and strategy, commission management and more. As associates develop, they will maintain relationships with company management teams; industry contacts; internal sales and trading personnel; and institutional investors.
Research Specialist / Scientist, Metabolic Phenotyping (In Vitro & In Vivo) Altos LabsResearch Specialist / Scientist, Metabolic Phenotyping (In Vitro & In Vivo)San Francisco, CA$129,500–$166,000 / yearYou will independently plan, execute, troubleshoot, and interpret rigorous experiments across models that range from primary cell cultures to in vivo rodent systems, applying a diverse set of techniques that includes real-time measurements of cellular energetics, multi-omics sample generation, metabolic imaging, and whole-animal phenotyping. Design and execute in vivo rodent metabolic studies in collaboration with the team, including animal handling, dosing (intraperitoneal, intravenous, oral), metabolic phenotyping (glucose- and insulin-tolerance tests, CLAMS for metabolic monitoring), and endpoint tissue collection optimized for multi-omics, bioenergetic, and histological analysis.
Research Engineer I Ii/Iii (AI / Machine Learning) Gladstone InstitutesResearch Engineer I Ii/Iii (AI / Machine Learning)San Francisco, CA$78,000–$114,000 / yearYou will develop AI systems that access scientific literature, laboratory datasets, electronic lab notebooks, Slack discussions, manuscripts, protocols, and experimental results in order to generate hypotheses, critique ideas, design experiments, and accelerate discovery. A meaningful place to grow and learn-whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment.
Research Engineer, Production Model Post-Training AnthropicResearch Engineer, Production Model Post-TrainingSan Francisco, CAThis 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. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
Research Engineer, Performance RL (Reinforcement Learning) AnthropicResearch Engineer, Performance RL (Reinforcement Learning)San Francisco, CAThis 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. 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.
Research Scientist/Engineer, Biological Safety AnthropicResearch Scientist/Engineer, Biological SafetySan Francisco, CAAs a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work.
Research Operations Lead, Biology AnthropicResearch Operations Lead, BiologySan Francisco, CAManage vendor and supplier relationships: including contract research organizations: source and qualify vendors, negotiate quotes and service contracts, schedule preventive maintenance and field-service visits, and hold suppliers to their commitments. 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.
Research Engineer, Life Sciences AnthropicResearch Engineer, Life SciencesSan Francisco, CAThis 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. 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.
Research Scientist, Interpretability AnthropicResearch Scientist, InterpretabilitySan Francisco, CAIn the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we'd had to solve to get these results.
Ml/Research Engineer, Safeguards AnthropicMl/Research Engineer, SafeguardsSan Francisco, CAThis 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. 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.
Engineering Manager, Research Data Platform AnthropicEngineering Manager, Research Data PlatformSan Francisco, CAWe work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). 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.
Research Engineer, Chip Design RL (Reinforcement Learning) AnthropicResearch Engineer, Chip Design RL (Reinforcement Learning)San Francisco, CAThis 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. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs.
Research Engineer, Cybersecurity RL (Reinforcement Learning) AnthropicResearch Engineer, Cybersecurity RL (Reinforcement Learning)San Francisco, CAFor example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
Research Scientist, Takeoff Intel AnthropicResearch Scientist, Takeoff IntelSan Francisco, CAThis 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. 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.
Research Scientist, Safety Post Training Scale AI, Inc.Research Scientist, Safety Post TrainingSan Francisco, CA$216,000–$270,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.
Research Engineer, RL Engineering AnthropicResearch Engineer, RL EngineeringSan Francisco, CAThis 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. 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.
Member of Technical Staff - Research Emerald AIMember of Technical Staff - ResearchOakland, CaliforniaWe are looking for individuals who combine strong research skills with hands-on software engineering experience and are excited to develop production-quality infrastructure, large-scale prototypes, and experimental platforms that operate on thousands of GPUs. You will collaborate closely with your team mates, product, and customer teams to translate new ideas into deployed capabilities while publishing cutting-edge research that advances the state of the art in AI infrastructure.
AI Research Expert - Fully Remote MercorAI Research Expert - Fully RemoteSan Francisco, CaliforniaRemote$110–$145 / hourProvide clear, structured feedback to AI research teams to improve training data quality and downstream performance. For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome.
Research Specialist - Fully Remote MercorResearch Specialist - Fully RemoteSan Francisco, CaliforniaRemote$50–$60 / hourCurrently pursuing or recently completed Master's studies, or 2–3 years of relevant experience + Bachelor's from a prestigious institution. Develop high-quality research questions, answers, and evaluation materials to train advanced language models.