Entangl uses AI to detect and automatically resolve issues in data center engineering and operations, ensuring efficiency and uptime.

Role Overview:

As an ML Engineer on our Experiment Team, you'll develop machine learning solutions for complex problems in data center operations. You'll work on primarily work on our proprietary AI engine and deliver solutions to our customers most expensive pain points.

Responsibilities:

• Design and implement machine learning models for specific use cases
• Work on image processing and data extraction from technical documents
• Develop algorithms for automated issue detection and analysis
• Collaborate with full-stack engineers to integrate ML capabilities into our platform
• Evaluate and implement state-of-the-art approaches in relevant domains
• Train and optimize models
• Understand our customers most expensive pain points

Requirements:

• 3+ years of experience in machine learning or AI development
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with computer vision and image processing
• Understanding of ML model deployment in production environments
• Ability to explain complex ML concepts to non-specialists
• Background in electrical engineering or data center operations is a plus

What is it like working at Entangl:

Entangl is a fast-growing startup building enterprise software that helps data centers operate. Some of our perks include:

• Rocket launch corporate retreats!
• Be surrounded by readers and you will have access to a budget to buy books to keep your brain healthy!
• Generous stock options
• We also have “no AI days”
• The team work 60+ hours minimum and 6.5 days a week.