Research Scientist - Reinforcement Learning for End-to-End Autonomous Systems
Research Scientist - Reinforcement Learning for End-to-End Autonomous Systems
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1 Vacancy
Job Description
- Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision autonomous planning openworld learning and so on) for related business domains of ADAS/AD industrial automation robotics etc.
- Push the boundaries in (modular) endtoend perception and planning for ADAS/AD incorporating advancements in reinforcement learning simulation and world models to aid generalizability.
- Collaborate with a global team to transfer cuttingedge research findings to Boschs operational units.
- Implement research results to solve realworld challenges ensuring highquality system integration within Boschs existing platforms.
- Stay abreast of the latest technological advancements and market trends by attending academic conferences technical events and seminars.
- Document and disseminate research findings through highcaliber publications and/or patent submissions.
Qualifications :
Basic Qualifications
- Ph.D. in Computer Science Robotics or a related discipline or Masters degree with > 1 / 3 years industry experience after graduation.
- A minimum of 3 years of R&D experience or an equivalent graduate research background primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
- Proficiency in one or more programming languages commonly used in machine learning (e.g. Python C Rust).
- Strong interpersonal communication and teamwork capabilities.
- Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
- Handson experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO DQN DDPG).
Preferred Qualifications
- Industry experience with building E2E systems and world models for ADAS development.
- Experience in motion planning algorithms for autonomous systems and understanding of probabilistic reasoning and decisionmaking algorithms.
- Handson experience in computer vision and deep learning with work in any of the following areas: multimodal transformers multimodal language models diffusion models NeRF gaussian splatting object detection / segmentation 3D scene understanding sensor calibration SfM voxel/BEV gridbased feature representation.
- A strong portfolio of publications in premier machine learning deep learning robotics and computer vision journals and conferences.
Additional Information :
The U.S. base salary range for this fulltime position is $ 160000 $ 200000. Within the range individual pay is determined based on several factors including but not limited to work experience and job knowledge complexity of the role job location etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary Bosch offers a comprehensive benefits package that includes health dental and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings when included generally reflect base salary; certain positions may include bonus or additional benefits.
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drugtesting. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
