below marketmost similar roles pay hereabove market
This role pays less than
82%
of similar roles. Most pay
$191,912–$254,812
— the blue band above.
At the midpoint, this role pays about
$175k
versus about
$223k
for comparable roles.
Based on 240 similar postings.
Employer
About Bosch
Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.
Bosch currently has
77 open roles
on FindRole.
Listed pay typically runs
$165,000–$185,000
across 34 roles with salary data.
The Research Scientist- Robotics AI joins the Intelligent Autonomous Systems group to advance automated driving, robotics, and industrial automation. You will conduct research and engineering in core AI and machine learning fields to enable Embodied AI, specifically focusing on computer vision, autonomous planning, and open-world learning. Your daily work involves pushing boundaries in AI-based robotics by incorporating large vision-language-action models to improve reasoning and explainability. You will implement research results into existing platforms, collaborate cross-functionally for technology transfer, and publish findings in premier journals. Required skills include proficiency in Python, C++, or Rust, and experience with TensorFlow or PyTorch. You must demonstrate expertise in reinforcement learning techniques like PPO and DQN, alongside knowledge of multimodal transformers, diffusion models, and 3D scene understanding.
What does a Research Scientist earn?
Median $216250 from 46 postings across 16 companies.
Conduct research and engineering in core AI and machine learning fields to enable Embodied AI for ADAS and robotics.
Incorporate advancements in large vision-language-action models to improve reasoning capabilities and explainability.
Implement research results to solve real-world challenges and ensure high-quality system integration within existing platforms.
Develop methods for motion planning, high-level task planning, and decision-making for autonomous systems.
Build frameworks that leverage reliable distributed computing technologies for real-world product applications.
Document and disseminate research findings through high-caliber publications and patent submissions.
Engage with academic and industry communities through conferences, workshops, and technical events.
What we're looking for
Ph.D. in Computer Science, Robotics, or a related discipline.
Master's degree with at least 2 years of industry experience after graduation.
Minimum of 3 years of R&D experience, or an equivalent graduate research background, 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, such as Python, C++, or Rust.
Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
Hands-on experience in reinforcement learning for behavior or motion planning and familiarity with common RL techniques like PPO, DQN, and DDPG.
A strong portfolio of publications in premier machine learning, deep learning, robotics, and computer vision journals and conferences.
Experience with real-world product development and deployment of autonomous systems (preferred).