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AI Researcher

🔥 13 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

đźź  Senior

đź§  AI Research Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

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đź‘» Ghost score 10%

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Logo of Improbable

Improbable

1001 - 5000 employees

Founded 2012

đź’Ľ Consulting

🎖️ Defense

🎮 Gaming

đź’° Venture Round on 2022-12

Consulting • Defense • Gaming

Improbable is a metaverse venture builder that initiates and develops new businesses powered by its technologies to bring the metaverse to life through gaming, entertainment, social, and enterprise applications. The company leverages expertise in gaming, blockchain, and AI to create breakthrough metaverse technologies, designing and operating metaversal experiences for brands to drive new business and revenue. Improbable's recent projects include MLB's Virtual Ballpark, a virtual baseball experience; Edison 'Summercrush', a multiplayer block party in the metaverse; KosmoPop, a K-pop metaverse celebration; and Victory League's 'Clash of Fans', a virtual fan engagement event. They are also working on developing the fastest blockchain for mass consumer applications.

đź“‹ Description

• Design and run experiments testing agent reliability, context retention, multi-step task completion, and failure modes • Build and own the evaluation layer to measure whether agents complete work correctly • Research the state of the art in LLM agents, tool use, and reliability • Translate research findings into clear, actionable recommendations for engineering • Prototype promising research ideas into working products and hand off validated solutions • Shape the research roadmap as Bolter grows • Work directly with the GM and product engineer in a lean team • Use specialised AI agents to support implementation

🎯 Requirements

• Track record of applied AI/ML research, ideally in LLM application design, agentic systems, evals, or production AI reliability • Strong experimental design and analysis • Strong engineering fundamentals and ability to prototype experiments independently • Deep familiarity with LLMs, tool use, context management, and failure modes of agentic systems • Strong written communication • Ability to work rigorously and pragmatically with ambiguous problems • Ability to leverage AI agents as a force multiplier • Experience with LLM evals, hallucination mitigation, or production AI reliability at scale is a bonus • Experience building or evaluating agentic systems, tool use, or autonomous workflows is a bonus • Public track record such as papers, open source, blog posts, or side projects is a bonus • Experience in product-led research is a bonus • Candidates who do not meet all listed requirements are still encouraged to apply

🏖️ Benefits

• Both short-term and permanent roles are possible

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