Principal AI Engineer

Job Description

Job Description

Principal AI Engineer

Summary:

• Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales—to ensure high-quality performance and delivery.
• Develop which are LLMs designed to solve our customers’ business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks.
• Communicating to high-level stakeholders internally and externally.
• Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques.
• Guide and mentor scientists to support their career development.
• Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas.

Requirements:

• Excellent software engineering skills, experience in Python, Rust and/or C++.
• Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion).
• Real-world experience with distributed systems and concurrency.
• Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation.
• Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects.
• MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields.
• Requires full-time, on-site presence at the office in San Diego, CA.
• Willingness to travel up to 10%.