Staff ML Engineer (ML/AI)

📋 Description

• Define platforms enabling teams to build, deploy, evaluate, and operate AI solutions safely
• Architect end-to-end AI infrastructure for training, fine-tuning, low-latency inference, RAG
• Establish ML/AI lifecycle standards: data lineage, CI/CD, automated evaluation, red-teaming
• Collaborate with product, data science, security, and domain experts to translate objectives into
• Provide technical leadership via architectural reviews, prototypes, and strategic coding.
• Mentor senior ML engineers and uplift engineering practices across teams.

🎯 Requirements

• 8+ years building and deploying complex ML/AI in production with leadership experience.
• Advanced software engineering: Python, REST, Protobuf, microservices.
• Hands-on production ML/AI infra: Docker, Kubernetes, container orchestration, real-time inference
• Experience with generative AI systems: RAG pipelines, LLM tuning, vector databases, robust
• Strong data-layer tech: relational DBs, low-latency KV stores, Kafka/Celery, data pipelines.
• Cloud-native systems on AWS or similar cloud platforms.

🎁 Benefits

• Annual base salary $161,000–$221,500 depending on skills and location.
• Discretionary bonuses potential.
• Comprehensive healthcare (medical, dental, vision, FSA/HSA, life, disability).
• Coaching and therapy services.
• Equity via discretionary RSUs.
• Competitive PTO, parental leave, holidays.