Bachelor's degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
Experience in fine-tuning and optimizing large language models (LLMs).
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience in Reinforcement Learning with Human Feedback (RLHF) as applied to LLM modeling, data collection, and evaluation.
Experience in developing and implementing technology solutions that deliver impact at scale.
Knowledge of multimodal modeling techniques, data collection, and evaluation processes.
Understanding of ML systems and production infrastructure, enabling effective collaboration with engineers and establishing credibility with customers.
Ability to stay current with the latest advancements in machine learning research, translating cutting-edge knowledge into practical solutions.