Research Engineer, Economic Research Data Platform AnthropicResearch Engineer, Economic Research Data PlatformSan Francisco, CAIn this role, you will work closely with teams across Anthropic - including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy - to build scalable and robust data systems that support high-leverage, high-impact 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.
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 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, 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 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.
Machine Learning Research Engineer, Applied Research WindBorne SystemsMachine Learning Research Engineer, Applied ResearchPalo Alto, California$140,000–$240,000 / yearOur technology creates research opportunities that do not arrive as clean benchmark problems: a customer needs a forecast tailored to a new decision, a government partner poses a difficult technical question, or a new dataset might improve performance in a domain we have never tested. Ambiguous applied research problems — Translate real-world needs from customers, government programs, and internal teams into tractable machine learning questions, experiments, and deliverables.
Machine Learning Research Engineer, Applied Research WindBorne Systems IncMachine Learning Research Engineer, Applied ResearchRedwood City, CAOur technology creates research opportunities that do not arrive as clean benchmark problems: a customer needs a forecast tailored to a new decision, a government partner poses a difficult technical question, or a new dataset might improve performance in a domain we have never tested. Ambiguous applied research problems - Translate real-world needs from customers, government programs, and internal teams into tractable machine learning questions, experiments, and deliverables.
Research Engineer, Frontier Safety Mitigations, DeepMind Google LLCResearch Engineer, Frontier Safety Mitigations, DeepMindSan Francisco, CAhome home Home work_outline Jobs Jobs noogler_hat Students Students google google How we work How we work handyman How we hire How we hire person_outline Your career Your career help_outline Help link feedback Send feedback more_vert Help Send Feedback Sign in. Experience with cybersecurity detection and response building classifiers and anomaly detection systems at scale taking safety defenses or mitigations from research concepts to scalable production systems.
Research Engineer, Performance RL Anthropic PBCResearch Engineer, Performance RLSan Francisco, CA$350,000–$850,000 / yearThis 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. 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.
Research Engineer, Life Sciences Anthropic PBCResearch Engineer, Life SciencesSan Francisco, CA$350,000–$500,000 / yearThis 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. 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.
Research Engineer, Chip Design RL Reinforcement Learning Anthropic PBCResearch Engineer, Chip Design RL Reinforcement LearningSan Francisco, CA$500,000–$850,000 / yearThis 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.
NewResearch Engineer / Research Scientist — Robotics & Physical AI CleraResearch Engineer / Research Scientist — Robotics & Physical AISan Francisco, CaliforniaExperience developing and maintaining robotics simulation environments (e.g., Isaac Lab, MuJoCo, MJX, Genesis) and real-to-sim/sim-to-real workflows. This role sits at the intersection of research and engineering on a small, collaborative team building AI-driven systems that help robots learn, reason, and operate in the physical world.
AI Research Engineer Accenture PlcAI Research EngineerSan Francisco, CAOur applied research explores ways that emerging technologies, such as Artificial Intelligence, ubiquitous computing, affective computing, neuro-sensing, and Augmented Reality can address important business problems and transform how people interact with technology across various facets of their lives. Some recent projects and new initiatives we are focused on: Enhancing human-AI collaboration and teaming by measuring human-AI interaction behaviors, understanding AI adoption barriers, and designing personalized interventions to improve quality of AI adoption for knowledge work.
ML Research Engineer, Foundation Models (Senior / Staff / Principal) Genesis Molecular AIML Research Engineer, Foundation Models (Senior / Staff / Principal)San MateoOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Bridge machine learning research and computational chemistry workflows , working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs.
Machine Learning Systems Research Engineer, Agent Post-Training - Enterprise Genai Scale AI, Inc.Machine Learning Systems Research Engineer, Agent Post-Training - Enterprise GenaiSan Francisco, CA$264,800–$331,000 / 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 an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system.
Lead Research Engineer, Data Quality HUDLead Research Engineer, Data QualitySan Francisco, CaliforniaYou’ll lead the data quality team in building the systems that evaluate thousands of tasks across RL environments, synthetic data, benchmarks, and domain-specific workflows. We’re looking for a Lead Research Engineer, Data Quality to own how HUD measures, improves, and scales the quality of training data for frontier agents.
Research Engineer Recruiting From ScratchResearch EngineerSan Francisco, CaliforniaThis company is at the forefront of creating innovative tools that empower businesses to harness data effectively and drive operational efficiency. We're representing a dynamic venture-backed company that specializes in cutting-edge software development and AI solutions.
Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs Meta Platforms IncResearch Engineer (Technical Leadership), FAIR Data - Meta Superintelligence LabsMenlo Park, CAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible.
Research Engineer, Lab Automation Periodic LabsResearch Engineer, Lab AutomationMenlo Park, CaliforniaWe're building an autonomous lab to speed up materials discovery, and we need someone who understands materials R&D from the inside — someone who's run the experiments, fought with the instruments, and knows what "the workflow" actually means at the bench. As our Research Engineer, you'll work directly with scientists to understand what they're trying to learn, then translate that into the hardware setups, instrument sequences, and engineering requirements that make it possible to automate.
Research Engineer, Gemmaverse Variants Research, DeepMind GoogleResearch Engineer, Gemmaverse Variants Research, DeepMindMountain View, CAThe Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.