Research Engineer, Science of Deep Learning

Job Description

• We are looking for candidates with an abiding interest in how large models work, and the technical skills to advance our understanding of them. • Especially, we desire candidates with an unusual clarity of thought, and a capacity to think from first principles. • We work closely with our data, pre-training, and post-training teams.

Qualifications

• A bachelor's degree in a quantitative field (Physics, Mathematics, Computer Science); PhD preferred. • 2+ years experience in industry, training, evaluating, and meaningfully modifying models. • Working experience with at least one of PyTorch, Jax, or TensorFlow (not just high level APIs like keras.train). • An excellent understanding of probability theory, linear algebra, and stochastic processes. • A healthy dose of skepticism about experimental results and interpretations, and a deep cynicism about published AI/ML research.

Benefits

• Offers Equity