Data Engineer, Machine Learning

We're working with an Intel Capital backed AI Startup in San Francisco that’s building a multimodal generalist agent at the frontier of AI, merging cutting-edge neural architectures with long-term memory, reinforcement learning, and continual adaptation.The team includes ex-DeepMind, Nvidia, Anthropic and Apple professionals, and they are operating at the cutting edge of the AI space.The company is extremely well-backed, with $100M in Series A funding, and was founded by an entrepreneur with 2 successful exits, including selling his startup to Salesforce for $500M.They’re hiring a Machine Learning Data Engineer to:Design and build large-scale retrieval pipelines (embeddings, vector search, similarity, semantic ranking) that drive agentic workflowsArchitect and implement robust data systems and tooling that power memory, long-term state, and multimodal inferenceCollaborate with ML teams to integrate retrieval + data infrastructure with LLMs and vision-language models to enable multi-step reasoning, planning, and autonomous actionWhy join:Work on the leading edge of agentic AI, you’re not just tuning models, you’re building the data backbone of autonomous systemsDeep bench of talent: engineers and researchers from top AI labsStrong equity stake: you’ll have a real ownership position in a company poised for meaningful scaleTC: 250-400k base, up 1 million total w/equity