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Owns AI-powered workflow agents for permitting and inspections, building evaluation systems, feedback loops, and tools to drive automation and reliability.
Builds and maintains the data pipelines and infrastructure that power RoboForce's AI robotics models, handling everything from raw teleoperation data to post-training reinforcement learning loops.
Design and deploy AI models (transformers, graph-based, agents) to detect fraud in blockchain data, safeguarding OKX’s exchange and users from scams and abuse.
Lead the design and deployment of AI-driven computer vision systems for identity verification, fraud detection, and security at a global crypto exchange, using PyTorch/TensorFlow and multimodal models.
Lead post-training and alignment of large language models using DPO, GRPO, and RLAIF; design reward models and optimize inference with vLLM/SGLang for a leading crypto exchange.
Build and scale Netomi’s agentic AI platform, designing systems that turn messy enterprise knowledge into structured, production-grade AI agents for customer experience automation.
Build and own large-scale AI systems that power LinkedIn’s core products, from model training to production deployment at billion-member scale.
Builds and optimizes GenAI systems for YouTube, designing semantic layers and RAG pipelines to turn massive data into actionable insights for creators and viewers.
Build and lead ML infrastructure for voice/GenAI at scale, enabling teams to ship AI-powered features while democratizing ML tooling for developers.
Design and deploy cutting-edge AI/ML applications, including LLMs and computer vision, in a defense-focused R&D environment requiring Secret clearance.
Lead Everlaw’s AI strategy, designing and implementing cutting-edge AI features for legal discovery at trillion-token scale while mentoring engineers and collaborating with cross-functional teams.
Build and lead AI-native products, setting technical direction for autonomous agents that act on real work, using cutting-edge models and rapid experimentation.
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Build and own AI systems that power an agentic 3D commerce experience, integrating LLMs with spatial data and product catalogs.
Lead AI/ML architecture and development for fintech products, building and deploying production-grade generative AI systems including LLMs and RAG pipelines.
Build platform APIs for AI world models, data pipelines, and inference systems that power 1X’s humanoid home robot NEO, integrating AI across the robot’s software stack.
Build and optimize production LLM serving systems, focusing on inference performance, KV cache, memory, storage, and throughput bottlenecks across GPU/CPU pathways.
Design and deploy AI-native e-commerce systems using LLMs and generative AI to create new shopping experiences, from prototyping to production at scale.
Builds and maintains GenAI-powered developer tools and automation to speed up software engineering workflows for a defense-tech company using C++, Python, and cloud infrastructure.
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