Software Engineer, Machine Learning

Job Description

Architect and lead large-scale machine learning systems, including training pipelines, inference infrastructure, and feature platforms, while resolving complex issues in model quality, reliability, performance, and data integrity. Set cross-organizational technical strategy, apply AI-native tools to accelerate development, establish responsible safeguards, and mentor engineers.

Requirements: Requires a bachelor's degree in computer science, computer engineering, a related technical field, or equivalent practical experience, plus 12 or more years designing and deploying production-scale machine learning systems. Candidates must have experience architecting end-to-end ML platforms, resolving complex system failures, setting technical strategy across teams, and communicating system designs to technical and non-technical audiences.

Key Skills: Machine Learning Systems, ML Platform Architecture, Distributed Training, Model Evaluation, Low-Latency Inference, Feature Engineering, Data Pipelines, Modeling, AI-Native Workflows, AI Developer Tooling, Performance Optimization, Reliability Engineering, Responsible AI, Technical Strategy, Cross-Functional Leadership, Mentoring

Benefits: Bonus, Equity, Benefits