AVRIDE is an autonomous driving company with the mission to make transportation safer and more efficient through cutting-edge technology. We hold a unique position in the market, developing self-driving taxis and delivery robots. Our delivery robot division already has production in the US and Japan. Our team consists of highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and making a significant impact on the company's results and the autonomous industry as a whole.
About the RoleAs a Senior Research Engineer at Avride, you will lead cutting-edge research and development of deep learning models that power our autonomous perception systems. You’ll design, train, and deploy advanced neural networks for complex 3D computer vision tasks, driving innovation in autonomy. Working across large-scale machine learning infrastructure, you’ll turn state-of-the-art ideas - like vision-language models and multi-modal generative systems - into real-world solutions. This is a high-impact role at the intersection of research and production, shaping the future of autonomy through science and code.
What You'll Do- Lead the design, implementation and experiments to evaluate machine learning solutions for the perception component of our autonomous driving system
- Design and implement neural networks for various perception problems
- Research novel ways to improve the quality of the deep learning models used in the project
- Develop data mining, labeling, training and eval pipelines to support the development of machine learning models
- Develop novel ways to inspect, understand, filter, improve and synthesize data
- Build tools to productize deep learning models for onboard and offboard deployment
- Develop and maintain a robust machine learning infrastructure that accelerates the research and development cycle
- Collaborate and work in partnership with product teams
- MS degree in Computer Science and 4+ years of industry experience
- Proficiency in Python and C++
- 4+ years of experience in large-scale production ML systems
- Strong understanding of parallel computing, GPU architecture and experience with CUDA programming
- 4+ years of experience with Deep Learning and training neural networks
- Experience with deployment and optimization of deep learning models
- 4+ years of experience with deep learning frameworks such as PyTorch/JAX and strong knowledge of their internals
- Experience with efficient deep learning techniques such as quantization, distillation and pruning techniques
- 4+ years of experience with Computer Vision
- Familiarity and experience with state of the art in 3D computer vision tasks (such as object detection or semantic segmentation)
- Hands on experience with multi-node distributed training of large modern deep learning models
- Proven experience with vision-language models (VLM) development and evaluation
- Prior experience with multi-modal generative models development and evaluation
- Hands-on experience with Self-Supervised Learning (SSL) in non-image domains
- Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
- 4+ years of experience with robotics applications development
- 4+ years of experience with ROS
- Knowledge of the common design patterns in the self-driving field
- Experience with multi-threaded and stream-based programming models
- 4+ years of experience with the AWS or GCP cloud platform stack
- 4+ years of experience with Linux, Docker, Kubernetes, Terraform
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
