Transform machine learning capabilities with Preference Model as a Senior Engineer focused on ML infrastructure. Engage in developing scalable systems for advanced AI research.This Senior ML Infrastructure Engineer role emphasizes designing robust architectures that enhance the efficiency of post-training large language models. You will develop internal tooling, establish benchmarking infrastructures, and partner with researchers to refine their needs into actionable requirements. Play a pivotal role in enhancing ML research outcomes.Key Responsibilities: - Design infrastructure for post-training research on ML models - Maintain and develop tooling for reproducible experimentation - Create evaluation and debugging support systems - Collaborate directly with research teams for timely feedbackRequirements: - Solid foundation in software engineering and infrastructure - Hands-on experience with ML frameworks like PyTorch or JAX - Solid understanding of cloud systems and distributed principles - Experience with data pipelines and engineering practices - Familiarity with LLM internals is advantageousBe part of an innovative startup leading the way in machine learning advancements.#J-18808-Ljbffr

📌 Senior Engineer In Ml Infrastructure Development (Toronto)
🏢 Preference Model
📍 Toronto