CareerPlan

Senior Machine Learning Engineer

2 LocationsFull-time2026-07-22 → 2026-11-10
Hybrid

Core

Designing advanced memory structures and autonomous learning mechanisms for AI agents that resolve customer service tickets across 100,000+ accounts by perceiving, reasoning, and acting via live APIs.

Role type

Senior IC machine learning engineer (autonomous agent systems & RL)

Builds

Production AI agents, proprietary iterative planning architecture, RL training infrastructure for domain-specialized models, and enterprise-scale guardrails.

Domain

Customer Experience (CX) / Artificial Intelligence / Autonomous Agents

Required skills

production ML/AI system architecture, agent planning and tool dispatch, memory management, error recovery, internal evaluation framework design, Python, PyTorch

Preferred skills

Reinforcement Learning for language models, reward shaping, online/offline RL tradeoffs, custom agent framework development

Technologies

Python, PyTorch, LangChain, Braintrust, A2A protocol

Responsibilities

Pushing iterative planner architecture for ambiguous goals and concurrent sessions, building RL training infrastructure with reward curricula, hardening multi-turn evaluation and automated trajectory analysis, implementing multi-layered guardrails against tool misuse and prompt injection.

Seniority

Senior, hands-on IC