we are looking for an experienced deep learning algorithm researcher with a strong focus on reinforcement learning to join the CTO group.
our CTO group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced hd maps, and advanced driver-assistance technologies. the role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging reinforcement learning to address complex, interactive driving scenarios. you will work on policy decision making that provides a holistic, system -level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles. this is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction. what will your job look like:
develop and optimize reinforcement learning-based planning algorithms, including network architectures, reward design, and training processes.
apply rl to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
prototype algorithms in Python and migrate performance-critical components to efficient C ++ / gpu-accelerated implementations.
take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.
Requirements: all you need is:
m.sc. in Computer Science, electrical engineering, or a related field (ph.d. - advantage).
3+ years of hands-on industry experience in deep learning, with a strong background in designing and training neural networks.
experience with reinforcement learning (academic coursework, research, or practical application) - strong advantage.
strong programming skills in Python.
experience with C ++ and/or cuda or other performance-oriented programming - advantage.
proven ability to tackle complex, open-ended problems and work effectively in iterative, research-driven environments. we change the way we drive, from preventing accidents to semi and fully autonomous vehicles. if you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
This position is open to all candidates.