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Gemini", "company": "Google DeepMind", "location": "London (King's Cross) / Hybrid", "salary": "£150,000 - £210,000 + Google GSUs (L5/L6)", "source": "Google DeepMind Careers", "sourceUrl": "https://www.google.com/about/careers/", "tags": [ "Google DeepMind", "Gemini 1.5/2.0", "JAX", "TPU v5p", "Multimodal" ], "featured": true, "department": "DeepMind Applied Solutions", "description": "Work side-by-side with frontier model researchers and flagship enterprise partners to deploy multimodal Gemini systems on Cloud TPU clusters.", "responsibilities": [ "Port research breakthrough model checkpoints into scalable production inference pipelines.", "Optimize million-token context window retrieval and video-audio multimodal understanding.", "Benchmark and profile distributed JAX workloads across massive TPU v5p pods." ], "requirements": [ "Expertise in Python, JAX/PyTorch, and distributed machine learning.", "Track record building high-reliability production systems or publishing at top AI venues (NeurIPS, ICML)." ], "benefits": [ "High-value Google GSU equity grant", "Free gourmet meals on-site", "Comprehensive health coverage" ] }, { "id": "meta-llama-systems-eng", "slug": "meta-generative-ai-systems-engineer", "title": "Generative AI Systems & Infrastructure Engineer (Llama)", "company": "Meta", "location": "London (Kings Cross / Rathbone) / Hybrid", "salary": "£145,000 - 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