Senior Machine Learning Engineer, Platform

Required

• 8+ years of experience in software development and/or machine learning experience with a focus on internal platforms or infrastructure.
• Hands-on experience building and operating ML infrastructure, with depth in one or more areas such as feature stores, rules engines, model hosting and inference, or training infrastructure.
• Deep understanding of architectures for ML-backed solutions and the ML lifecycle - from data gathering, training, model evaluation, MLOps, and productionizing models (both classical ML and deep learning/LLMs).
• Experience designing and operating large-scale distributed systems, including understanding failure modes, maintaining correct data, and managing performance and capacity.
• Experience operating mission-critical services, including oncall, incident response, and improvements that made systems more reliable.
• Experience leading complex technical work from an unclear starting point through delivery: defining the problem, testing ideas, choosing a design, planning work with other teams, and checking the results.
• Experience working with teams that use your platform, explaining technical choices and trade-offs, and mentoring engineers.
• Experience using any of the major cloud vendors for high scale production use cases.
• Strong communication skills (verbal and written) with technical and non-technical stakeholders.
• Ruthless pragmatism when solving new and unconventional problems
• Technologies We Use and Teach
• Kotlin / Java, Golang, Python, Typescript, React