Wand AI
Staff Machine Learning Engineer, Agent Memory & Reasoning (University)
United States Timezone · Staff+
Sponsorship not specifiedDetected 5 days ago
Vector DatabasesMachine LearningLLMsAgentic AIAI OrchestrationResearch
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We're teaching agents to reason, remember, and get better without retraining a single one.
- We're hiring a Staff Machine Learning Engineer to join University, a brand new team we're standing up right now, focused on agent memory, evolution, and reasoning.
- For at least the next six months: no model training, no fine tuning, no deep GPU or CUDA work.
Responsibilities
- Build agent memory systems: not just picking what goes into context, but the mechanisms that generate, curate, refine, and store that information in the first place.
- Design memory with real constraints: confidentiality and scoping so agents never leak what they shouldn't.
- Build systems that watch how agents behave across the org and turn that into shared best practices at scale.
- Design and run tests and benchmarks that show whether these improvements actually work.
- Take an undefined problem and design a real, shippable solution for it.
- Document your methodology clearly enough that others can build on it.
- Comfortable owning ambiguous, senior level problems on your own.
Nice to have
- Help shape the technical roadmap for agent memory and reasoning as the team stands up.
- You've shipped production agents or agent adjacent systems at a company, not just in a lab.
- Experience with memory, context engineering, or techniques that make agents reason better without retraining them.
- Strong software engineering fundamentals to go with your ML and agent experience.
- Comfortable working directly with LLM provider APIs (OpenAI, Anthropic, or similar) and embedding models for retrieval and memory systems.
- Experience with agent evaluation and benchmarking tooling (e.g. LangSmith, Ragas, TruLens, or a custom eval harness).
- Strong communicator, written and verbal.
- An advanced degree (MS or PhD), paired with real industry experience.
Company info
- Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy.
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