Industrial AI & RL Engineer for Physical Systems

FLUIX; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Attractive compensation package, including equity options

Comprehensive health, dental, and vision insurance

Opportunities for professional growth and development

Job summary

A pioneering technology company in San Francisco is hiring an AI/ML Engineer to develop and implement advanced models using deep reinforcement learning. The successful candidate will work on real-world systems, conducting experiments and analysis to improve model performance. Candidates must hold a Bachelor's degree in a related field, with a Master's or Ph.D. preferred and have proven experience in machine learning and control systems. This role offers competitive compensation, including equity options, and comprehensive benefits.

Qualifications

• 2+ years of hands-on experience applying ML to real-world systems.
• Experience with digital twins and physics engines.
• Strong grounding in fields such as thermal systems or industrial automation.

Responsibilities

• Design, develop, and deploy ML models for physical systems.
• Analyze telemetry and sensor data for model evaluation.
• Collaborate with engineering teams to integrate models.

Skills

Deep reinforcement learning

Physics-based modeling

Proficiency in Python

ML frameworks (PyTorch, TensorFlow)

Control theory

Data telemetry analysis

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master’s or Ph.D. preferred

Tools

AWS/Azure

PLC, SCADA, IoT systems

Job description

A pioneering technology company in San Francisco is hiring an AI/ML Engineer to develop and implement advanced models using deep reinforcement learning. The successful candidate will work on real-world systems, conducting experiments and analysis to improve model performance. Candidates must hold a Bachelor's degree in a related field, with a Master's or Ph.D. preferred and have proven experience in machine learning and control systems. This role offers competitive compensation, including equity options, and comprehensive benefits.