As a research intern within the ML Perception team, you'll apply expertise to real-world multi agent autonomous driving and infrastructure challenges. You will focus on multimodal efficient deep learning for safety critical systems with built in redundancy and robustness, collaborating with a multidisciplinary team to develop innovative models and algorithms to enhance our perception stack.

As a Senior Machine Learning Engineer on the Safety team, you will develop, train and optimize state-of-the-art language models (LLMs) that unlock scale and efficiency. You will partner closely with peer Safety teams to identify and build solutions that will help keep users safe.

The ML Understanding Team is seeking a Staff Machine Learning Engineer with a deep understanding of LLM training and optimization. In this pivotal role, you will be responsible for developing, training, and optimizing state-of-the-art language models for various applications. You will partner with Engineering, Product, UX Research, and Product Design teams to push the boundaries of what's possible with these powerful language models.

Build systems to generate and edit designs, working closely with various engineers, designers, and PMs. You will own the full lifecycle of features from design docs and stakeholder alignment through implementation, testing, and maintenance. This role requires staying across state-of-the-art advancements in deep learning and generative AI, facilitating knowledge sharing, and modelling initiative in achieving goals.