X, The Moonshot Factory
Posted 82 days agoVerified live 15h ago
Machine Learning Engineer (Tapestry)
Brief overview
Mountain View, CAHybrid
UndergradOr in progress
$166k–$244k/yrStated range
Machine Learning Model DevelopmentMultimodal Machine LearningNatural Language ProcessingAgentic AIReinforcement LearningPythonPyTorchTensorFlowML Systems DeploymentCloud Platforms AWSCloud Platforms GCPCloud Platforms Azure
About the company
X, The Moonshot Factoryx.company
X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet.
Job description
Summary
X, The Moonshot Factory is a team within Alphabet focused on building an AI-powered electric grid. They are seeking an early career Machine Learning Engineer to build and deploy machine learning models to address complex challenges in the electricity ecosystem.
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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
- Competitive salary and equity
- 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
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