AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
2+ YOEBachelor's degree or equivalent experience; 2+ years advanced AI, HCI, HRI, or computational design R&D; 3 years rapid prototyping; programming, AI frameworks, user research, and communication skills.
AccentureNYSE: ACN: Global provider of management consulting and technology services.
3+ YOEBachelor's degree in CS/AI or related field; at least 2 years in advanced R&D engineering for AI/HCI/HRI; 3 years of rapid prototyping experience.
HeyMilo: Automates candidate screening and interviews using AI voice agents.
Advanced degree in AI/ML or CS, strong RL and LLM experience, Python and systems engineering skills, experience with containers and cloud, and ability to own research-to-production projects.
Code Metal: Verifiable AI-powered code translation for mission-critical industries.
3+ YOEBachelor's or Master's in a technical field (or equivalent), 3+ years building AI/ML or applied research systems, strong Python and PyTorch skills, experience with LLM tooling, fine-tuning, retrieval, agentic systems, and experiment design; eligible to obtain U.S. security clearance.
ZeroRFI: AI-powered intelligence platform for the built environment.
3+ YOEMaster's/PhD or equivalent, 3+ years building and deploying ML models, deep learning and computer vision expertise, strong software engineering and MLOps experience.
Mimic: Developing AI-powered dexterous robotic hands for industrial automation.
3+ YOEPhD (or equivalent) in CS/Data Science/Robotics, 3+ years training generative models, 4+ years developing Python code, strong empirical research skills, project management experience, and fluent English.
Decagon: Conversational AI platform for automated customer support.
2+ YOE2+ years AI/ML engineering or research experience, experience training and deploying LLMs, fluency in Python and modern ML tooling, track record of productionizing research.
Console: Automates IT support and internal operations using AI agents.
Experience building production AI systems, evals, model adaptation, and applied research engineering to improve agent behavior in real-world conditions.
EnCharge AI: Develops energy-efficient analog in-memory AI hardware and software systems.
5+ YOE5+ years in ML research/systems, strong Python and PyTorch, hands-on with transformers/diffusion models, fine-tuning and evaluation pipelines, hardware-aware ML optimizations and benchmarking experience.
LangChain: Tools for building and deploying production-ready AI agents.
4+ YOERequires 4+ years in ML/AI research, a relevant master's or Ph.D., LLM and AI agent experience, benchmark and experiment design, and strong software engineering skills.
LangSmith, LangChain, LangGraph, Deep Agents, LLMs, AI agents, GPU infrastructure, SFT, RLHF, RLAIF
Research Engineer / Research Scientist / AI Systems Engineer, RSI
San Francisco, California, United States
$295k-$445k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience in LLM training, model evaluations, agent systems, synthetic data, research infrastructure, and large-scale distributed systems; strong generalist able to move between research and implementation; rigorous scientific judgment and concern for safety and reliability.
Sunnyvale or Bellevue or Menlo Park or Burlingame or Boston or New York or San Francisco or United States
$184k-$257k/yrHybridFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
Bachelor's in CS/ENG or equivalent; ML/NLP/recommender systems experience; Python with PyTorch; scalable ML; familiarity with large-scale architectures and AI tooling.
Clera: AI talent agent matching professionals with high-growth startup roles
2+ YOERequires 2–4 years of research engineering experience, Python, Docker, Linux, AI agent training environments, benchmarks, evaluations, experiments, metrics, and data pipeline development.
Onton: An AI-powered search engine for product discovery and shopping.
Significant software/ML/research engineering experience, deep understanding of AI (neurosymbolic approaches), strong implementation and critical thinking skills; PhD/Master's preferred.
Human Archive: A research lab focused on embodied intelligence and robotics backed by YC.
Master’s or PhD in robotics, computer vision, sensing systems, or related fields; published research in sensor fusion, perception systems, multimodal datasets, or embodied AI; experience with RGB-D, IMUs, motion capture, tactile sensing, or robotics systems; strong hardware intuition; experience with RL and real deployments.
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
PhD-level or equivalent research record with multiple top-conference publications or substantial AI lab research; empirical deep-learning experience, ability to run and debug ML experiments, and strong communication.
Walden Robotics: A building general-purpose robots and agent systems to improve quality of life across homes, workplaces, and farms.
Undergraduate CS/Engineering degree, track record delivering production agentic AI workflows, expertise with modern LLM tools, Python, data engineering, API integrations, and LLM eval/observability.