Builds and improves AI agents for complex accounting tasks, working across product engineering, agent platforms, infrastructure, and data systems at the frontier of applied ML. Requires strong systems thinking, ownership, and excitement for coding agents in a fast-changing environment.
100k – 300k/yr
On-siteML Engineering
About the role
Responsibilities
Design context ontology for agents
Build data pipelines to hydrate agent state
Work across Product Engineering, Agent Engineering (context engineering, tool design), Agent Platform (harness engineering, eval systems), Platform & Infrastructure, Agent Data, and Atlas (AI systems for recruiting, sales, engineering)
Requirements
First principles and systems thinking for novel problems
Deep domain understanding of data systems, workflows, and agent work
Ownership of outcomes as Responsible Party (RP)
Agency and initiative
Non-negotiables
In person in Flatiron, NYC 5 days a week
Excited about working with coding agents
Excited about applying agents to real economy problems
Benefits
Premium Medical, Dental, Vision; Life Insurance; coaching & therapy sessions
Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.
120k – 210k/yr
On-siteML Engineering
Staff Research Scientist
CarbonSunnyvale, CA
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On-siteML Engineering
Senior / Staff Applied Research Software Engineer
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Remote5+ YOEML Engineering
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