Machine Learning DevOps Engineer (Tapestry) at X, The… · Mountain…

Summary: X, The Moonshot Factory is transforming how the world makes, moves and uses electricity through their initiative Tapestry. They are seeking an early career Machine Learning Engineer to build and deploy machine learning models to address complex challenges in the electric grid. 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, Python, ML frameworks Important Skills: MLOps, Cloud platforms Nice-to-Have Skills: Curiosity Benefits: Medical, dental, and vision coverage, Generous PTO and flexible hybrid work model, 401(k) with employer contribution, Professional development, The ability to work on important real-world problems within an Alphabet-backed environment