Remote ML Engineer - Real-Time Physics-Informed AI

Geminus
San Francisco, US
Remote

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • Developed and optimized machine learning models
  • Collaborated across teams
  • Managed scalable ML models
Typical background
3+ years of experience in a production environmentProficiency in Python and TensorFlow

Transferable backgrounds

Skills & requirements

Required

PythonTensorFlowMachine LearningReal-time SystemsPhysics-Informed AI

Preferred

Energy Industry Knowledge

Stack & domain

PythonTensorflow

About the role

A leading AI solutions company seeks a Machine Learning Engineer to develop and optimize machine learning models in a remote-first setting. The role will involve collaboration across teams and managing scalable ML models for real-time decision-making. Ideal candidates have 3+ years of experience in a production environment and proficiency in Python, TensorFlow, and related technologies. This position offers opportunities to shape AI applications in the Energy industry while working with a talented team. J-18808-Ljbffr

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