AI Engineer Job at SmartAC.com, Houston, TX

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  • SmartAC.com
  • Houston, TX

Job Description

SmartAC.com

We are an innovative IoT sensor platform for HVAC systems dedicated to transforming the experience of home comfort. Our platform leverages advanced AI to deliver real-time insights and predictive maintenance, empowering HVAC technicians to build and maintain lasting customer loyalty. We’re driven by the desire to perfect the experience of home comfort and revolutionize the HVAC industry in the process.

The Role

We're looking for an AI Engineer who thrives on solving novel, real-world problems with machine learning. Our platform leverages AI to extract meaningful insights from tens of thousands of HVAC sensors deployed in homes, transforming raw data into actionable intelligence. This role sits at the intersection of deep learning and real-world sensor data, requiring someone who can train neural networks, fine-tune foundation models, and develop AI-driven features for our platform.

You will help shape our AI strategy, design and implement new models, and work closely with our software and hardware teams to bring cutting-edge AI to the HVAC space. You will play a significant role in the foundational system architecture, technology choices, and implementation. Our core team has deep expertise in ML and IoT systems, and you'll have the opportunity to collaborate closely, push the boundaries of applied AI, and explore your own ideas.

Ideal candidate:

  • A love for solving deeply complex technical problems with ambiguity using state-of-the-art research and AI
  • Previous experience founding or working at startups is a plus
  • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
  • Strong knowledge of software engineering best practices
  • Have built applications taking advantage of Generative AI in real, production use cases
  • Familiarity with state-of-the-art LLMs and their strengths/weaknesses

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