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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Research Engineer - RL Infrastructure”. A match may be a passing mention rather than the job itself. Titles only.
22 roles across 23 listings · show every listing
…the APEX research team, plus regular access to the broader research org - Access to frontier model APIs, Mercor’s internal evaluation infrastructure, and — where…
…researchers Yihan Hu and Wei, and see your methods deployed into humanoid robots and dexterous hands through Applied's tools and infrastructure. Our Research…
…and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment…
…researchers with the technical depth to move the frontier in pretraining, reinforcement learning (RL) / post-training, or evals; and researchers with real depth in…
…We believe the biggest gains come from designing the training recipe and the infrastructure together rather than separately, and we are hiring a researcher…
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and…
…We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to…
…Drive post-training research and engineering using reinforcement learning (RL) and supervised fine-tuning (SFT) to advance Gemini coding capabilities across web, 3D, game…
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing…
…models, training pipelines, or research infrastructure to support novel experimentation. Strong practical depth in agentic AI and context engineering, including planning, reasoning, memory, skills…
…Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity…
…Build tooling and infrastructure (data pipelines, replay/evaluation systems, benchmarks) that accelerate the research team Collaborate with researchers and engineers across disciplines throughout the…
…We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and…
…Work with AI Infrastructure engineers to build scalable evaluation frameworks that measure model performance, reliability, and safety in high-stakes environments. Rapid Prototyping to…
…Work closely with AI Researchers, Computer Vision teams, and platform engineers to design unified infrastructure standards across the company's autonomous systems programs. REQUIRED…
…By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge…
…Program Management, Research Operations, Solutions Engineering, or a similar technical, customer-facing role. Experience operating in an ML research or AI infrastructure environment strongly…
…Demonstrated experience building and leading high-performing organizations that span both AI research scientists and production engineers, including hiring, developing talent, and making difficult…
…ABOUT THE ROLE As a Research Engineer at Mercor, you’ll work at the intersection of engineering and applied AI research. You’ll own…
…collaboration with Applied AI researchers, product, design, and operations. WHAT WE'RE LOOKING FOR - 5+ years of fullstack engineering experience building and shipping production…
…WHAT WE'RE LOOKING FOR - 5+ years of professional engineering or research experience in control and real-time embedded systems - MSc or PhD in…
…Training, RL & Evaluation Infrastructure • Build and scale the offline inference systems behind post-training — high-throughput rollout generation and reward-model serving for reinforcement…