Research Engineer, AI Safety & Alignment Character AIResearch Engineer, AI Safety & AlignmentRedwood City, CAAs a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products. Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning.
Research Manager EmendataResearch ManagerSan Francisco, CaliforniaWith this approach, our small but fast-growing team is having a big impact taking on challenges in healthcare program integrity – safeguarding programs like Medicare and Medicaid by preventing fraud, waste, and abuse. Working Style : Able to produce high-quality work in a client-facing environment under dynamic circumstances; enterprising in acquiring knowledge and figuring out problems; disciplined/structured in approach to work.
Senior Member Of Research Staff VOLEONSenior Member Of Research StaffBerkeley, CAYour research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. As a Senior Member of Research Staff, you will work at the forefront of modern statistical machine learning leading key projects focused on enduring challenges of financial market prediction and portfolio optimization.
AI Research Scientist WriterAI Research ScientistSan Francisco, CAThe instincts and orientation that match WRITER's values: you Connect - you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge - you ask the hard questions, push back on conventional wisdom, and pursue the research directions others haven't tried yet; you Own - you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
Senior Member Of Research Staff, Optimization VOLEONSenior Member Of Research Staff, OptimizationBerkeley, CAYour research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. 5-10+ years of related experience in numerical methods, optimization solvers, mathematical programming, convex &/or nonconvex optimization directing key research projects and mentoring colleagues.
Member Of Research Staff, Reinforcement Learning, Voleon Securities VOLEONMember Of Research Staff, Reinforcement Learning, Voleon SecuritiesBerkeley, CAYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager.
Research Engineer AndoResearch EngineerSan Francisco, CaliforniaBuild evaluation from real data - Mine production workspace data (carefully, with consent and redaction pipelines you'll help design) into benchmarks and labeled datasets. Some concrete research problems on our plate right now: Proactivity: An agent embedded in a team's channels has to decide, message by message, whether to ignore, quietly track, or intervene.
Research Engineer I II/III (AI / Machine Learning) Gladstone InstitutesResearch Engineer I II/III (AI / Machine Learning)San Francisco, CaliforniaYou 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 Scientist, AI Controls And Monitoring Scale AI, Inc.Research Scientist, AI Controls And MonitoringSan 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 focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.
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.