RL - MLOps Engineer

June 5

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GatlingX

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2 - 10 employees

🤖 Artificial Intelligence

Description

• Establish and lead the implementation of GPU-EVM RL training gym • Develop and set up training benchmarks, focusing on real application use cases. • Monitor system performance, proactively identify issues, and ensure overall health and security. • Stay updated with the latest reinforcement learning and AI agent trends, applying them continually to improve our processes. • Create and maintain technical documentation for internal and external use. • Balance speed and quality, with a focus on tangible results.

Requirements

• Strong background and proven experience in Reinforcement Learning. • Good understanding of the current AI agent landscape (e.g. AutoGPT, babyAGI, SIMA) • Deep demonstrable understanding of reinforcement learning full-stack • Proven record of shipping features on time and on budget • Flexible and focussed on solutions • Exceptional problem-solving abilities and meticulous attention to detail. • Strong collaborative skills, with the ability to lead projects and work in a fast-paced setting. • Organized and self-sufficient • Published RL/AI/MLOps papers in the past • Experience in Web3, Particularly Ethereum and even better if you know security • Experience building low-level tools • Experience as an early eng team member growing a product from 0 to 1 • Design chops • Have managed other engineers • Have been a founder before

Benefits

• Ground floor opportunity - depending on the candidate, this role has strong potential to turn into a leadership position • Technically challenging, cutting edge and intellectually stimulating product • Competitive compensation and benefits • Major industry conferences and events covered • Remote-first, with a hub in the UK • Flexible work schedule