ML Engineer
Riverline
Build and maintain evaluation infrastructure for advanced machine learning systems and agent workflows. Own end-to-end tracing across agents and create automated changelog systems for tracking modifications. Define and solve ML problems within agent-based architectures while improving reliability and observability. Candidates should have 2–3 years of experience with ML production systems, evaluations, and LLM-related technologies. Familiarity with agentic frameworks, speech models, and tracing systems is strongly preferred.
Apply NowOpen in Carrerlift
Posted 2026-05-31