This role involves architecting the foundational platform components that enable AI and ML engineers to train, deploy, and serve models at massive scale
Job Summary
This role involves architecting the foundational platform components that enable AI and ML engineers to train, deploy, and serve models at massive scale.
The successful candidate will lead the development of Attentive's agentic stack from the ground up while setting technical direction for the entire AI organization.
Attentive offers competitive compensation including a base salary range of $170,000 to $280,000 plus equity and benefits.
Matching Summary
This role involves architecting the foundational platform components that enable AI and ML engineers to train, deploy, and serve models at massive scale.
Salary
Base: $170,000 - $280,000 annually; Equity: Included; Benefits: Health & wellness included
Skills & Requirements
Must-have
5+ years ML Platform/MLOps experience
Python for batch processing and online services
Experience with Ray, MLFlow, or Metaflow
Building high-throughput agentic stack components
Designing online and offline inference systems
Nice-to-have
Mentoring platform and ML engineers
Driving long-term architectural strategy
Experience with reinforcement learning workloads
Champion/challenger testing implementation
Building universal data access layers
Key Requirements
5+ years focused specifically on ML Platform/MLOps
Proven track record owning core ML platform components
Strong expertise in Python for both batch and online frameworks