Sr. Staff Software Engineer, AI Platform
Ladders · United States · 1 wk ago
RemoteRemoteEngineering$209k–$429k/yrFull-time
About the role
For our client, we are seeking a Sr. Staff Software Engineer, AI Platform to join the team of a leader in the Consumer Technology space. This role will shape the technical foundation for evaluation capabilities across GenAI and complex ML systems, with a strong focus on scalability, reliability, and practical adoption. You will help define the roadmap for a critical platform that supports experimentation, monitoring, and decision-making across multiple teams. The position calls for deep cross-functional partnership, strong architectural judgment, and thoughtful balance between metrics, expert review, and business outcomes. Location: Remote - US based candidates only, no visa sponsorship available.
Responsibilities
- Identify modernization opportunities and scale the evaluation system roadmap
- Define cross-team technical strategy and drive adoption of evaluation capabilities
- Make architectural decisions to enhance user experience and reliability
- Establish evaluation methodologies balancing metrics, expert judgment, and business outcomes
- Lead complex cross-team workstreams and manage technical tradeoffs
Qualifications
- 3+ years of hands-on experience with evaluation systems for GenAI and complex ML systems
- Strong programming skills in Python and knowledge of distributed systems
- Familiarity with GenAI and RecSys evaluation libraries and frameworks
- 5+ years of experience in building scalable platforms for experimentation and monitoring
- Strong judgment regarding GenAI risks like bias and privacy
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Benefits
- Flexible in-office collaboration requirements, with minimal in-person meetings
- Opportunity to work remotely from anywhere in the country
- Inclusive and equitable workplace culture
- Access to equity options
- Transparency in salary and benefits information
Pay
$208,592 – $429,454 annually