Senior Software Engineer - Backend & Machine Learning

Required

• Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy).
• Experience building and deploying models for inference services.
• Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++).
• Understanding of core ML concepts including model architecture, training, and evaluation.
• Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS).
• Excellent communication and collaboration skills.
• Familiarity with data engineering principles and/or building large-scale data pipelines.
• Familiarity with building and deploying LLM-integrated products.
• Experience working at the intersection of machine learning research and engineering.
• Understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc).
• Experience using service deployment tooling (e.g. Kubernetes, Helm, Docker, Argo).
• Application Note