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As a key member of our GPS Engineering team, you will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.</p>\n<p>Your mission is threefold:</p>\n<ul>\n<li>Frontier Research &amp; Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).</li>\n<li>Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.</li>\n<li>Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.</li>\n</ul>\n<p>You will:</p>\n<ul>\n<li>Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.</li>\n<li>Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.</li>\n<li>Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.</li>\n<li>Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.</li>\n<li>Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.</li>\n<li>Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.</li>\n</ul>\n<p>Ideally, you’d have:</p>\n<ul>\n<li>Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.</li>\n<li>Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).</li>\n<li>Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.</li>\n<li>Safety Expertise: Experience in alignment, robustness, or interpretability research.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience with large-scale distributed training on massive clusters.</li>\n<li>Experience in building agentic systems that are reliable.</li>\n<li>Experience in Sovereign AI or working with highly regulated data environments.</li>\n<li>A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1c4de3ab-a58","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4413274005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Deep Learning","PyTorch","JAX","AI Safety","Alignment","Robustness","Interpretability"],"x-skills-preferred":["Large-scale Distributed Training","Agentic Systems","Sovereign AI","Regulated Data Environments"],"datePosted":"2026-04-18T15:59:21.005Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Deep Learning, PyTorch, JAX, AI Safety, Alignment, Robustness, Interpretability, Large-scale Distributed Training, Agentic Systems, Sovereign AI, Regulated Data Environments"}]}