Research Scientist- Vision-Language-Action (VLA) Models

About the role

As a Research Scientist focusing on Vision-Language-Action (VLA) Models, you will contribute to research projects at the forefront of the ADAS/AD industry, advancing Embodied AI for domains such as ADAS/AD, industrial automation, and robotics.

Responsibilities

• Conduct research and engineering in core AI and machine learning fields, including computer vision, autonomous planning, and open-world learning.
• Push the boundaries in modular end-to-end perception and planning for ADAS/AD, incorporating advancements in large vision-language-(action) models to enhance reasoning and explainability.
• 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 integration within Bosch’s existing platforms.
• Stay at the forefront of innovation by engaging with academic and industry communities through conferences, workshops, and technical events.
• Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

• Ph.D. in Computer Science, Robotics, or a related discipline, or a Master’s degree with at least 2 years of industry experience after graduation.
• A minimum of 3 years of R&D experience, or equivalent graduate research background, primarily in AI technologies such as Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
• Proficiency in 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, with familiarity in 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 Qualifications

• 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 expertise in areas such as multimodal transformers, multimodal language models, diffusion models, NeRF, Gaussian splatting, object detection/segmentation, 3D scene understanding, sensor calibration, SfM, or voxel/BEV grid-based feature representation.

Pay

Competitive base salary range in US-California: $165,000 – $185,000. Additional compensation includes an annual corporate bonus and a long-term incentive bonus designed to reward sustained impact and contribution over time. Individual pay is determined based on factors such as work experience, job knowledge, role complexity, and job location.

Benefits

• Premium health coverage.
• 401(k) with generous employer matching.
• Resources for financial planning and goal setting.
• Ample paid time off and parental leave.
• Comprehensive life and disability protection.

For more details, visit Bosch Benefits.