Team Noetive

3 Job Openings

• AI Research ScientistUS, Remote

  At Noetive, you'll push the frontier of what foundation models can do across language, vision, and world model development, designing and running experiments on post-training, reasoning, agentic behavior, and evaluation, then translating those findings into capabilities that ship in real products. You'll work with a small, principal-level team that moves fast from hypothesis to result, own the full arc from literature review through ablations to writeup, and hold a high bar for rigor even under startup timelines. We're looking for a PhD or equivalent research track record, deep fluency in modern deep learning (PyTorch, distributed training, LLM fine-tuning and RL), a strong publication or open-source footprint, and the instinct to pick problems that matter rather than problems that are merely publishable.

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• AI Native Full Stack EngineerUS, Remote

  As an AI Native Full Stack Engineer you'll build the products and infrastructure through which our research reaches users: agentic workflows, LLM-backed services, evaluation harnesses, and the interfaces that make them usable. You treat language, vision, and world models as first-class components of the system, understand their failure modes, and design for latency, cost, and non-determinism as everyday engineering constraints rather than afterthoughts. You'll own features end to end across front ends, back ends, and cloud infrastructure, and you'll ship hourly with AI coding tools as a natural part of your workflow. We're looking for strong product engineering fundamentals, hands-on experience integrating LLM APIs, embeddings, and tool use into production systems, and a bias toward getting working software in front of people.

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• AI Native Product ManagerUS, Remote

  As an AI Native Product Manager you'll define what we build and why, turning research capabilities in language, vision, and world model development into products that solve real problems for real users. You'll live at the intersection of researchers, engineers, and customers, writing crisp specs, running discovery, designing evals that double as product requirements, and making hard tradeoffs. You understand how these models actually behave, prototype with them yourself, and can tell the difference between a demo and a durable product. We're looking for several years of product experience shipping software people use, direct hands-on work with generative AI products, sharp written and analytical skills, and comfort leading in a fast, ambiguous environment where the roadmap is shaped as much by what the models can newly do as by what customers ask for.

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