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 two successful exits, including selling his startup to Salesforce for $500M.

Machine Learning Data Engineer

We’re hiring a Machine Learning Data Engineer to :

Responsibilities

• Design and build large‑scale retrieval pipelines (embeddings, vector search, similarity, semantic ranking) that drive agentic workflows.
• Architect and implement robust data systems and tooling that power memory, long‑term state, and multimodal inference.
• Collaborate with ML teams to integrate retrieval and data infrastructure with LLMs and vision‑language models to enable multi‑step reasoning, planning, and autonomous action.
• Work on the leading edge of agentic AI, building the data backbone of autonomous systems.
• Support deep bench of talent : engineers and researchers from top AI labs.
• Benefit from a strong equity stake, providing real ownership in a company poised for meaningful scale.

Pay and Benefits

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Location

San Francisco Bay Area

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