Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home As a Member of Technical Staff, Machine Learning, you will build core ML components. The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings. The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML. This position is 100% Remote. Member of Technical Staff Responsibilities: - Build and improve ML components across data, training, evaluation, and inference. - Fine-tune and adapt models as part of larger production systems. - Implement evaluation and testing to understand 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. - Work closely with senior ML engineers and product teams. - Work under real production constraints: latency, cost, reliability, and safety Member of Technical Staff Outcomes: - ML models in production meet expected accuracy, latency, and reliability targets. - Production issues are identified quickly, debugged effectively, and root causes addressed. - Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable. - Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features. - Iterations on models and systems are driven by real-world signals and measurable improvements. Member of Technical Staff Qualifications: - Strong foundations in machine learning and modern neural architectures. - Artificial Intelligence (AI) experience required. - Some hands-on experience training, fine-tuning, or deploying ML models. - Comfortable writing production-quality code and learning new tools quickly. - Curious, coachable, and eager