Engineering Internship, Enrichment and Curation

Wayve • Sunnyvale, CA

12h • $100 • Hybrid

About The Position

Our team is seeking a talented Engineering Intern to join us for 3-6 months and propel our ambitious research in embodied foundation models forward. We’re a team of Applied Scientists, Machine Learning Engineers, and Software Engineers who strive to expand the horizons of embodied AI beyond simply reacting to perceptual inputs toward reasoning over them to handle even the most complex and rare situations. Our projects encompass some of the hardest problems in AI and require leveraging the latest research, state-of-the-art models, rigorous engineering, and cross-functional collaboration.

Requirements

• You are currently pursuing a graduate degree in a Computer Science, Machine Learning, Robotics, or related technical field.
• You are proficient in at least one backend/systems programming language (e.g. Python, Ruby, Java, etc).

Nice To Haves

• Previous experience in vision-language models, large language models, natural language processing, especially around reasoning.
• Prior experience in curating training data to steer the behavior of trained models.
• Solid software engineering fundamentals, especially in Python.
• Previously used PyTorch or a similar library for deep learning (e.g. Tensorflow, JAX).
• Experience with multi-node distributed training of large models.
• Interested in using large-scale multimodal (vision, language, etc.) datasets to improve embodied AI.
• Previous publications in the following conferences (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others).

Responsibilities

• Work on foundation models for embodied AI, including large-scale pretraining, post-training, leveraging language, or improving reasoning capabilities.
• Train models on large-scale multimodal (vision, language, etc.) data efficiently in a multi-node distributed system, and evaluate their performance on open (and closed) datasets/benchmarks.
• Curate large multimodal datasets for training and evaluation.
• Lead a high-impact research work and publish at a top tier conference (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others).

What This Job Offers

• Job Type: Full-time
• Career Level: Intern