At Wayve, the business problem is to create autonomy that propels the world forward by developing Embodied AI technology for automated driving systems
Requirements
- Previous experience in vision-language models, large language models, natural language processing, especially around reasoning
- Solid software engineering fundamentals, especially in Python
- Previous use of PyTorch or a similar library for deep learning (e.g. Tensorflow, JAX)
- Experience with multi-node distributed training of large models
- Interest in using large-scale multimodal (vision, language, etc.) datasets to improve embodied AI
- Previous publications in top tier 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
- Lead a high-impact research work and publish at a top tier conference (e.g., CVPR, ICCV, CoRL, NeurIPS, CoLM, RSS, ICRA, among others)
Other
- Currently pursuing a graduate degree in a Computer Science, Machine Learning, Robotics, or related technical field
- Proficient in at least one backend/systems programming language (e.g. Python, Ruby, Java, etc)
- Passionate about self-driving cars and think you have what it takes to make a positive impact on the world
- Ability to work in a fast-paced environment and embrace uncertainty
- Commitment to diversity, equity, and inclusion
