Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows. Requires 5+ years software engineering with 1+ year shipping LLM/agent features, strong Python/TS, and high-agency customer immersion.
Lead projects building and deploying large-scale ASR, NLP, and LLM systems for meeting intelligence. Requires 5+ years building production ML systems with PyTorch/JAX and experience with speech/language models.
Technical leader building and scaling production-grade multi-agent AI systems for real-time voice, workflow automation, and enterprise tool execution. Requires 8+ years experience and deep expertise in LLM platforms, agent frameworks, and distributed systems.
Train frontier models to generate polished artifacts (docs, spreadsheets, slides) by owning post-training improvements across RL, data, evals, and alignment. Requires strong ML fundamentals and hands-on LLM/RL experience.