Remote AI / ML Engineering Roles

focal

Lead the technology and AI strategy at focal — a VC firm building the proprietary intelligence layer behind its sourcing, diligence, and portfolio support.

PrairieLearn

Build the open-source assessment platform that runs at UIUC, Cornell, McMaster, and others. The role focuses on LLM-based tooling for instructors — real users, mission-driven product, well-scoped engineering.

ReadiFinancial

Senior contractor role at an AI-native mortgage servicing startup. Hands-on LLM application engineering — building agents and workflows that handle real money and real customers. Production LLM experience required.

Neo.Tax

Hands-on, product-oriented ML role at a profitable tax-automation startup. Own ML and LLM problems end-to-end across classification, extraction, ranking, anomaly detection, and tool-calling agent pipelines — Pacific-time remote.

SmarterDx

Build and scale ML-driven features across SmarterDx's clinical AI product suite. Real production model deployment in a regulated healthcare environment — published salary range, fully US-remote.

SmarterDx

Staff-level IC role setting ML architecture direction across SmarterDx's clinical AI products. Lead production ML infrastructure and mentor the team — fully US-remote, published salary.

SmarterDx

Research-side staff role at SmarterDx. Lead ML research on clinical document understanding and reasoning, build evaluation frameworks, and mentor researchers — fully US-remote with a real salary range.

Horizon3.ai

Break AI and agentic systems for a living. Research novel LLM and agent attacks (prompt injection, tool-use exploitation, model supply-chain) and turn them into automated modules inside NodeZero.

Cora AI

One of the first engineers at Cora AI. Ship voice agents, multi-agent orchestration, RAG pipelines, and the evals harness behind them. Must have shipped real LLM systems — not wrappers.

Reddit

Tech lead for the Signals pod inside Reddit's Ads Content Understanding org. Owns the company-wide knowledge graph that powers ad models and RAG products. Mix of modeling, infra, and technical leadership.