Member of Technical Staff, Machine Learning

Role overview An AI-focused engineering team is hiring a Member of Technical Staff, Machine Learning, to build core ML components for production AI products. The role suits engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML from day one.

Responsibilities - Build and improve ML components spanning data, training, evaluation, and inference - Fine-tune and adapt models as part of larger production systems - Implement evaluation and testing approaches that explain model behavior - Help build and maintain data pipelines for real-world and synthetic data - Debug model issues, performance problems, and production incidents - Ship improvements iteratively and learn from real user feedback

Requirements - Strong foundations in machine learning and modern neural architectures - Some hands-on experience training, fine-tuning, or deploying ML models - Comfortable writing production-quality code and learning new tools quickly - Working knowledge of Python and either PyTorch or JAX - Curious, coachable, and eager to learn from real production systems - Able to work through ambiguity with guidance and grow ownership over time

Nice to have - Bias toward shipping, iteration, and continuous improvement - Familiarity with GPU-based production ML systems - Experience operating under real production constraints such as latency, cost, reliability, and safety