Staff Applied Machine Learning Engineer, LLM Applications
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The role
Design and build user-facing ML features that harness LLMs and generative AI to unlock new product capabilities.
Partner with product, design, and ML research to prototype and deliver high-impact, ML-powered experiences.
Own the technical architecture and implementation strategy for applied ML systems—balancing latency, observability, and iteration speed.
Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways.
Collaborate with platform, infra, and legal/compliance teams to ensure ML deployments meet safety, fairness, and performance standards.
Establish and evangelize best practices for prompt design, model evaluation, and experimentation across the org, with hybrid on-site collaboration 3-4 days per quarter.
Partner with product, design, and ML research to prototype and deliver high-impact, ML-powered experiences.
Own the technical architecture and implementation strategy for applied ML systems—balancing latency, observability, and iteration speed.
Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways.
Collaborate with platform, infra, and legal/compliance teams to ensure ML deployments meet safety, fairness, and performance standards.
Establish and evangelize best practices for prompt design, model evaluation, and experimentation across the org, with hybrid on-site collaboration 3-4 days per quarter.
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