Software Engineering, Machine Learning… at X, The… · Mountain…

Summary: Tapestry, a part of Alphabet's moonshot factory, focuses on creating AI-enabled tools for the electric grid to enhance energy efficiency and reliability. The role of Machine Learning Engineer involves building and deploying advanced machine learning models to address challenges in the electric grid, collaborating with a multidisciplinary team to drive innovation in energy systems. Responsibilities: - Train, and deploy machine learning models in production environments - Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains - Operationalize ML model training at serving at enterprise scale - Stay abreast of the latest advancements in machine learning Required Qualifications: - Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field - Experience in machine learning model development and engineering - Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning - Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow - Experience with building and deploying ML systems at scale, OR a proven ability to perform applied ML research and develop the state of the art in an academic setting Preferred Qualifications: - Familiarity with MLOps practices and tools - PhD in Machine Learning, Computer Science, Statistics, or a related field - Experience with cloud platforms such as AWS, GCP, or Azure - A strong portfolio of projects demonstrating ML expertise Required Skills: Machine Learning, Multimodal Machine Learning, Natural Language Processing, Agentic AI, Control, Reinforcement Learning, Python, PyTorch, TensorFlow, ML Systems Deployment, MLOps, Cloud Platforms, Planning Benefits: Medical, dental, and vision coverage, Generous PTO and flexible hybrid work model, 401(k) with employer contribution, Professional development