This position is no longer accepting applications
Closed on September 18, 2026.
This role is filled — get an email when new Engineer roles open on DeveloperJobs.io:
Machine Learning Engineer
Ai Ml
Artificial Intelligence
Deep Learning
Engineer
Machine Learning
Machine Learning Engineer
Machine Learning Infrastructure
Machine Learning Models
Machine Learning Pipelines
TensorFlow
View similar jobs
Get alerted when similar jobs are posted — set up a New Engineer jobs on DeveloperJobs.io alert.
See other roles at Loon.
Job Description
Build and deploy production machine learning models for complex challenges in today’s electric grid.
Responsibilities
- Train and deploy machine learning models in production environments
- Collaborate with senior team members to deliver enterprise-quality ML systems across multiple ML domains
- Operationalize end-to-end ML workflows for model training and serving at enterprise scale
- Track and incorporate the latest advances in machine learning into ongoing work
Requirements
- Master’s Degree or Bachelor’s Degree in Machine Learning, Computer Science, Statistics, or a related field
- Experience in machine learning model development and engineering
- Expertise in one or more areas: multimodal machine learning, NLP, agentic AI, planning, control, reinforcement learning
- Strong programming skills in Python
- Experience with ML frameworks such as PyTorch or TensorFlow
- Experience building and deploying ML systems at scale, or demonstrated ability to perform applied ML research and develop state-of-the-art results in an academic setting
Technologies
- Python
- PyTorch
- TensorFlow
- AWS
- GCP
- Azure
Benefits
- Competitive salary and equity
- Medical, dental, and vision coverage
- Generous PTO and a flexible hybrid work model
- 401(k) with employer contribution
- Professional development
- Opportunity to work on important real-world problems in an Alphabet-backed environment
It’d Be Great If You Also Had These
- PhD in Machine Learning, Computer Science, Statistics, or a related field
- Experience with cloud platforms such as AWS, GCP, or Azure
- A portfolio of projects showing ML expertise
Values
- Take charge: initiative and ownership of outcomes that move the mission forward
- Transform with purpose: solutions that solve real problems and create meaningful impact
- Be a Tapestry, not a thread: collaborate across diverse skills and perspectives
- Always fine-tune: curiosity, feedback, and iterative improvement
- Stay grounded: open listening, valuing different perspectives, and focus on what matters most
Location: Mountain View, CA (hybrid) | Salary: USD 166,000 - 244,000 per year | Education: Master’s Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field