Anduril Industries is looking for a Research Engineer to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning to design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous driving.
Requirements
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).
- Solid experience with reinforcement learning methods and their application to autonomous systems.
- Strong programming skills in Python and familiarity with C/C++ is a plus.
- Demonstrated track record in developing and deploying ML models for complex systems.
- Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
- Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
- Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
Responsibilities
- Design and implement deep learning and reinforcement learning algorithms to improve sensor perception, prediction, and decision-making for autonomous vehicles.
- Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
- Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
- Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.
Other
- PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.
- Experience as a Principal Investigator in a research-driven environment
- Prior contributions to the research community, including publications or open-source projects.
