Research Scientist

**About Predictive Horizons AI** **We are here to shape the future of machine diagnostics.** At Predictive Horizons AI, we are unleashing the power of Generative AI to revolutionize how the world optimizes the health and reliability of complex systems. We are building the intelligence layer that allows machines to "speak" to us, predicting failures before they occur and diagnosing issues with unprecedented accuracy. **Our Mission**: To ensure the safety, security, and longevity of every critical system humans rely on by solving problems before they ever happen. **Where we are now**: We are a fast\-moving, venture\-backed startup with funding from top\-tier firms in the Bay Area and Canada. While our current focus is transforming the automotive industry by creating a safer, smarter road experience, our platform is built for scale. We are rapidly expanding our diagnostic engine to encompass a wide range of industrial equipment and high\-stakes machinery where failure is not an option. **Why Join Us?** * **Direct Access to Industry Giants**: This isn't theoretical work. You will work directly with real\-world customers, including major automotive OEMs, to solve their most pressing diagnostic challenges. * **Mission\-Critical Work**: We don’t optimize for ad clicks or social engagement. Our work protects lives, ensuring that every occupant in a vehicle or person relying on critical technology is safe because a failure was prevented. * **Bleeding Edge Engineering**: You will sit at the unique intersection of Generative AI and real\-world hardware. You'll solve deep technical challenges in a sector that is only just beginning its digital revolution. * **Radical Openness**: We value intellectual honesty and transparency. We operate with a flat structure where the best idea wins, and every engineer has a seat at the table when discussing product and strategy. * **100% Remote \& Async\-Friendly:** We value deep work. Work from anywhere in the world; we prioritize results over "hours at the desk." **Key Responsibilities** * Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development * Independently lead small research projects while collaborating with team members on larger initiatives * Design, run, and analyze scientific experiments to advance our understanding of large language models * Optimize and scale our training infrastructure to improve efficiency and reliability * Develop and improve dev tooling to enhance team productivity * Contribute to the entire stack, from low\-level optimizations to high\-level model design **Qualifications** * Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field * Strong software engineering skills with a proven track record of building complex systems * Expertise in Python and experience with deep learning frameworks (PyTorch preferred) * Familiarity with large\-scale machine learning, particularly in the