Lead AI Researcher, UK Skunk Works

• PhD or Equivalent in Computer Science, Machine Learning, or a relevant field (or comparable industry research experience)
• 2-3+ years experience working on large-scale deep learning, particularly in transformers or multi-modal models
• Demonstrated success through top-tier publications or industry AI products showcasing innovative results
• Advanced proficiency in PyTorch, TensorFlow, or similar frameworks, with practical knowledge of distributed training
• Strong familiarity with data pipeline engineering for large text/image/code datasets, including advanced data augmentation and retrieval-augmented generation
• Experience leading or managing small AI research teams, balancing daily implementation with big-picture strategy

Desirable

• Architect & Develop a Large-Scale Model:
• Design, prototype, and refine a multi-modal transformer-based system that handles text, code, and image inputs
• Establish robust training and versioning processes to ensure reproducible research outcomes
• Drive Research & Innovation:
• Investigate advanced techniques in language modelling, code generation, and multi-modal representations
• Track recent developments in both academic and industry research, applying relevant innovations to our roadmap
• Set Experimental Standards
• Define performance metrics, conduct thorough ablation studies, and maintain clear documentation of experiments
• Collaborate with DevOps to orchestrate large-scale training on cloud-based GPU clusters
• Mentor & Lead:
• Supervise and mentor ML Engineers and Data Specialists, advising on research methods, data strategies, and model refinements
• Provide technical leadership on code reviews and oversee AI model deployment within a discreet environment
• Collaborate Across the Company
• Partner with product managers and other stakeholders to align research milestones with strategic objectives
• Communicate progress and potential risks proactively, respecting the stealth nature of our operations
• Safeguard Quality & Integrity:
• Oversee security and ethical aspects of model deployment, ensuring compliance with the latest standards
• Monitor and validate model performance, focusing on real-world application and reliability

• Apply with CV and cover letter
• Intro Call
• Intro Meeting
• Technical 1
• Technical 2
• TBD