Research Scientist- Robotics AI

Sunnyvale, CA, United Statesfull timeOn Site

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mid

$165k–$185k

H1B: no

BoschGroup Research Scientist - Robotics AI at BoschGroup focusing on AI and machine learning for autonomous driving and robotics. Conduct research and engineering in core AI fields to enable Embodied AI and collaborate cross-functionally for technology transfer.

Responsibilities

Conduct research and engineering in core AI and machine learning fields to enable Embodied AI
Push the boundaries in AI based Robotics incorporating advancements in large vision-language-(action) models
Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration
Implement research results to solve real-world challenges ensuring high-quality systems

Qualification

PhA minimum of 3 years of R&D experienceStrong interpersonal

Required

Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2 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.
Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG).
A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.

Preferred

Experience with real-world product development and deployment of autonomous systems.
Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models.
Hands-on 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 grid-based feature representation.

Benefits

Medical
Vision
401(k)
PTO
Parental Leave

Company

BoschGroup

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Source: smartrecruiters

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