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Staff-level IC on DigitalOcean's Applied Research team, owning the technical direction for feedback-driven learning in agentic AI systems — reward modeling, preference optimization (RLHF, DPO, PPO, GRPO), and evaluation infrastructure — shipping research to production. Hybrid role in Seattle; 8+ years of production AI/ML experience required.
Leads DigitalOcean's AI/ML security: owns the AI security strategy and multi-year roadmap, builds in-house ML guardrails and security tooling, runs AI red-teaming and threat modeling across the ML lifecycle, and owns AI risk & governance. Core stack: Python, Go, adversarial ML, LLM/RAG security, MITRE ATLAS and NIST AI RMF.
Senior Technical Account Manager at DigitalOcean partners with key business customers to design cloud architectures, optimize deployments, and drive long-term growth using AI/ML and cloud technologies.
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
Build and scale AI/ML systems to enhance DigitalOcean’s cloud platform, focusing on performance, scalability, and developer experience.
Build and scale AI/ML systems that power DigitalOcean’s cloud platform, focusing on simplicity and scalability.
Build and scale AI/ML infrastructure at DigitalOcean to power cloud services and developer tools.
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