Tapestry, a group within Google working to build the AI-powered electric grid, is seeking an early career Machine Learning Engineer. The role focuses on building and deploying state-of-the-art machine learning models for electric grid challenges, developing enterprise-scale ML systems, and collaborating across multimodal machine learning, information retrieval, natural language processing, and agentic AI.
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
Qualification
Required
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
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
Benefits
Equity
Medical, dental, and vision coverage
Generous PTO
Flexible hybrid work model
401(k) with employer contribution
Professional development
Bonus
The ability to work on important real-world problems within an Alphabet-backed environment
X, The Moonshot Factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet.
