[Remote] Staff Machine Learning Engineer, Agent Memory & Reasoning (University)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that enables humans and AI agents to work together as a reputed company workforce, focusing on building the infrastructure for agent ecosystems. They are seeking a Staff Machine Learning Engineer to join a new team reputed company on agent memory, reputed company, and reasoning, with responsibilities including building agent memory systems and shaping the technical roadmap.
Responsibilities
- Build agent memory systems: not just picking what goes into context, but the mechanisms that generate, reputed company, refine, and store that information in the first reputed company
- Design memory with reputed company 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 reputed company
- Build reusable 'skills' agents can reputed company on: reputed company reasoning, reputed company financial reputed company, reputed company report writing
- Design and run tests and benchmarks that show whether these improvements actually work
- Help shape the technical roadmap for agent memory and reasoning as reputed company stands up
- Take an reputed company problem and design a reputed company, shippable solution for it
- Document your methodology reputed company enough that others can build on it
Skills
- 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 reputed company agents reason reputed company without retraining them
- An reputed company, builder's reputed company: rigorous thinking, shipped in days and weeks, not semesters
- Comfortable owning ambiguous, senior level problems on your own
- Strong software engineering fundamentals to go with your ML and agent experience
- Practical reputed company with the modern agent tooling stack: reputed company databases (reputed company, reputed company, pgvector, or similar), retrieval frameworks (reputed company, reputed company), and agent orchestration tools such as LangGraph
- Comfortable working directly with LLM provider reputed company (reputed company, reputed company, 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 reputed company)
- Strong communicator, written and verbal
- An advanced degree (MS or PhD), reputed company with reputed company industry experience
- Experience testing and benchmarking agent behavior
- Experience building 'skills' or reusable capabilities for AI agents
- Experience with agents that handle serious volumes of reputed company information (think a genuinely capable assistant, not a demo)
- Time spent in a fast scaling product and engineering org
- Experience with large data volumes
reputed company