Research Engineer / Scientist, Post-training - Paris

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions. This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI. Key Responsibilities: * Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs). * Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments. * Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures. * Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure. * Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design. * Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle. Requirements: * Technical Skills: * Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production. * Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science. * Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs). * Soft Skills: * Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment. * High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly. * Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI. * Bonus Skills: * Practical experience applying Reinforcement Learning to systems built on Large Language Models (LLMs). * Experience with distributed systems or cloud computing, preferably in AWS. * Familiarity with building complex simulation environments for agent training. * Experience with LLM training or fine-tuning. * Experience developing large-scale evaluation and benchmarking systems for AI models. * Experience in an agentic framework (e.g., LangChain, AutoGen, CrewAI, OpenAI SDK). * Expertise in system architecture, instrumentation, observability, and monitoring for complex, high-performance systems. Location: * Paris or London. * This role is hybrid, and you are expected to be in the office 3 days a week on average. * Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks). What We Offer: * Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups. * Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment. * Enjoy a competitive salary. * Unlock opportunities for professional growth, continuous learning, and career development. If you want to change the status quo in AI, join us.

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RESEARCH ENGINEER, MODEL INFERENCE & SERVING About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Inference team builds and operates the systems that serve H's foundational models in production. We focus on multimodal inference and serving for Computer Use Agents, optimizing across both the inference engine layer (e.g., vLLM, SGLang) and the model serving layer (e.g., disaggregated inference, intelligent routing). Agentic inference brings constraints around context length, multimodality, and tool calls, which we address by co-designing with the Models team on training-time choices and with the agent teams on how models are deployed. We operate at the intersection of research and production, translating cutting-edge inference techniques into the systems that power H's next generation of agents. We are looking for strong engineers excited about inference to join the team and help shape the systems behind superintelligent AI.   KEY RESPONSIBILITIES: * Build and operate the inference stack that serves H's multimodal agentic models * Improve latency, throughput, and cost of model serving across the stack * Research and implement inference techniques tailored to agent workloads * Co-design with the Models team on training-time decisions that affect inference * Collaborate with cross-functional teams to integrate inference into agentic AI products * Evaluate inference, serving, and hardware platforms, and communicate findings to stakeholders * Stay current with advancements in inference, model serving, and accelerator technology REQUIREMENTS: * Technical skills: * Strong software engineering track record * Proficient in Python and at least one systems language (Rust, C++, or Go) * Hands-on experience with deep learning frameworks (PyTorch, JAX), preferably in an industry setting * Solid distributed systems fundamentals * Experience working in a modern cloud environment and with production ML infrastructure (Kubernetes, etc.) * Working knowledge of modern ML, including transformers and multimodal architectures * Research skills: * Research engagement: an advanced degree with research output, or publications at top-tier AI or systems venues (e.g., NeurIPS, ICML, MLSys, OSDI), research internships, or substantive open-source contributions * Soft skills: * Excellent communication and presentation skills * Strong collaboration and teamwork skills * Passion for inference and AI * Preferred qualifications: * Startup experience * Hands-on experience with inference frameworks (vLLM, SGLang, TensorRT-LLM) * Writing or modifying GPU kernels (CUDA, Triton, etc.) * Edge or on-device inference experience (llama.cpp, MLX, ONNX Runtime, etc.) * Experience with quantization, speculative decoding, disaggregated inference or KV-cache compression * Experience with multimodal models and/or agentic systems LOCATION: * Paris or London. * This role is hybrid, and you are expected to be in the office 3 days a week on average. * Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks). WHAT WE OFFER: * Join the exciting journey of shaping the future of AI * Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment * Enjoy a competitive salary * Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.

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FORWARD DEPLOYED ENGINEER   About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.   About the Team: The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.   That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.   Key Responsibilities: Understand and identify customer’s most important and impactful multi-step task to automate Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc. Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery Architect, build, and maintain production-grade services that scale with usage and complexity Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field   Requirements: 3+ years of professional software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-) Familiarity with frontend frameworks (e.g., React, Vue) and a good sense of UI/UX tradeoffs Experience building and deploying production systems—APIs, services, infrastructure, and/or data pipelines Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments Excellent communication skills, both written and verbal Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions Willingness to travel for on-site deployments or customer engagements   Location: H's teams are distributed throughout France, the UK, and the US This role will be based either in Paris, France or Remote, US The final decision for this will lie with the hiring manager for each individual role   What We Offer: Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems. Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment. Enjoy a competitive compensation package, including salary and equity Unlock opportunities for professional growth, continuous learning, and career development