Jobs 1 - 20 out of 238 for Research Engineer in San Francisco, CA, US

Phinity is an AI research lab focused on solving chip design. The bottleneck to AGI is compute, and we enable AI agents to tape-out chips autonomously, from architecture to post-silicon. We are building RL environments, agent infrastructure, and evaluation systems to accomplish this. Our team brings...

About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems....

Conduct focused, product-related research projects, defining hypotheses and designing experiments using electrophysiological and cognitive data. Build signal-processing and ML pipelines for noisy, real-world time-series sensor data. Develop algorithms and ML models for cognitive and physiological de...

The Senior Research Engineer will focus on the effects of light on the brain, particularly in relation to circadian entrainment, alertness, sleep, and cognitive performance. Responsibilities include designing and running experimental setups for biosignal acquisition, programming for device synchroni...

Research and develop high-reliability manipulation policies built for fast deployment and iteration. Operate in a fast data flywheel across multiple modalities. Deep debug failure modes in transformer and diffusion policies deployed in the field. Optimize policies for real-time (~10 Hz) inference on...

Develop datasets and evaluations for robotics data to enhance training and evaluation of embodied AI systems. Translate research needs into data specifications, define data schemas and quality standards, design collection protocols, build validation workflows, and analyze model behavior to improve p...

Design and run head-to-head benchmarks of data providers against verified ground truth, build and maintain test datasets, own the automated harness and weekly benchmark release, measure accuracy, coverage, freshness, speed, and cost, and work with marketing to ship public leaderboard pages.

Own the signals behind indexing decisions, define what the right answer means, and improve search quality. Work on projects involving page quality assessment, credibility modeling, and document deduplication.

Build privacy and anonymization systems for AI training, develop methods to protect sensitive information, create production pipelines for data anonymization, and design evaluation frameworks for privacy risk. Collaborate with various teams to implement privacy requirements.

As a backend engineer, you will play a critical role in the search architecture, focusing on parsing web pages, classifying content, and assessing page quality. You will work on problems related to credibility, misinformation, and the extraction of high-quality knowledge.

Lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning, automate multi-step workflows, and enhance productivity. Responsibilities include defining and designing tools for science experimentation, guiding implementation of sci...

Develop software and machine learning for dexterous robotic manipulation, build data collection workflows, implement research ideas, integrate models into robot software, test on physical robots, and document results.

Define post-training recipes for AI models, build and own post-training data pipelines, create evaluations for model improvement, develop systems for scientific insights, and collaborate with teams to enhance experimental workflows.

About CyberCube: CyberCube delivers the world's leading analytics to quantify digital risk, helping the largest global carriers, reinsurers and brokers understand, price and manage cyber risk in financial terms. AI at our foundation, cyber risk at our core. We don't just use AI, we shape it. Buil...

As a Quantitative Cyber Risk Engineer, you will analyze how global businesses configure their internet-facing assets and design mathematical signals that accurately quantify their exposure to cyber attacks. You will develop innovative, quantitative signals, translate theoretical cybersecurity concep...

Turn spatial AI research into capabilities for homebuyers and builders. Own the applied side of AI models, build component layers around layout synthesis engines, and ensure performance meets latency and cost budgets. Collaborate with infrastructure engineers on MLOps and mentor team members.

Lead research and development efforts in generative AI and Agentic AI, define and design tools for science experimentation, guide implementation of science proof of concepts, build scalable science experiment frameworks, and bridge the gap between science and engineering teams.

Develop datasets and evaluations for robotics data, translating research needs into specifications, defining data schemas and quality standards, designing collection protocols, building validation tools, and analyzing model performance.

As a Research Engineer, you’ll be responsible for building industry-leading healthcare AI models and model pipelines that power Assort’s voice agents and overall patient platform. You’ll lead research and engineering efforts to improve core conversational capabilities, investigate research questions...

Build computer simulations to predict the effects of compounds on insects under real field conditions. Develop models connecting compound properties and insect responses, simulate environmental conditions, and evaluate predictions against experimental data. Collaborate with scientists to calibrate m...