{"id":55796,"url":"https://alion.io/job/hcompany-research-engineer-model-inference-serving-paris","title":"Research Engineer, Model Inference & Serving - Paris","company":{"id":16683,"name":"H Company","domain":"hcompany.ai","url":"https://alion.io/company/hcompany","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":17,"ghost_share":0,"stale_share":0.529,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":122000,"period":"year","method":"role_country_seniority_unknown","sample_n":107},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"vLLM","optional":false},{"name":"Computer Use","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"KV Cache","optional":true},{"name":"llama.cpp","optional":true},{"name":"MLX ML","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"Quantization","optional":true},{"name":"Speculative Decoding","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-04-14T10:03:01Z","employer_posted_date":"2026-04-14","last_verified_at":"2026-10-20T03:06:03Z","board_verified":true,"closed_at":null,"days_open":188,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":187},"description":"Research Engineer, Model Inference & Serving\nAbout 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.\nAbout 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.\nKey Responsibilities:\nBuild and operate the inference stack that serves H's multimodal agentic models\n\nImprove latency, throughput, and cost of model serving across the stack\n\nResearch and implement inference techniques tailored to agent workloads\n\nCo-design with the Models team on training-time decisions that affect inference\n\nCollaborate with cross-functional teams to integrate inference into agentic AI products\n\nEvaluate inference, serving, and hardware platforms, and communicate findings to stakeholders\n\nStay current with advancements in inference, model serving, and accelerator technology\n\nRequirements:\nTechnical skills:\nStrong software engineering track record\n\nProficient in Python and at least one systems language (Rust, C++, or Go)\n\nHands-on experience with deep learning frameworks (PyTorch, JAX), preferably in an industry setting\n\nSolid distributed systems fundamentals\n\nExperience working in a modern cloud environment and with production ML infrastructure (Kubernetes, etc.)\n\nWorking knowledge of modern ML, including transformers and multimodal architectures\n\nResearch skills:\nResearch 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\n\nSoft skills:\nExcellent communication and presentation skills\n\nStrong collaboration and teamwork skills\n\nPassion for inference and AI\n\nPreferred qualifications:\nStartup experience\n\nHands-on experience with inference frameworks (vLLM, SGLang, TensorRT-LLM)\n\nWriting or modifying GPU kernels (CUDA, Triton, etc.)\n\nEdge or on-device inference experience (llama.cpp, MLX, ONNX Runtime, etc.)\n\nExperience with quantization, speculative decoding, disaggregated inference or KV-cache compression\n\nExperience with multimodal models and/or agentic systems\n\nLocation:\nParis or London.\n\nThis role is hybrid, and you are expected to be in the office 3 days a week on average.\n\nPlease expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).\n\nWhat We Offer:\nJoin the exciting journey of shaping the future of AI\n\nCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment\n\nEnjoy a competitive salary\n\nUnlock opportunities for professional growth, continuous learning, and career development\n\nIf you want to change the status quo in AI, join us.","description_format":"text","description_chars":3818,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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