Job Description
Tapestry, a project from Alphabet’s moonshot factory, focuses on revolutionizing the electric grid through AI-enabled analytical tools. They are seeking an early career Machine Learning Engineer to build and deploy machine learning models that address challenges in the energy sector.
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
Skills
- 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
- 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
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
Company Overview
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