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

Bosch Group

$185K — $215K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Computer Science, Robotics, or related field, or Master's with relevant industry experience.
  • At least 5 years of R&D experience in AI, particularly in Computer Vision and Motion Planning.
  • Proficient in programming languages for machine learning, such as Python, C++, or Rust.
  • Strong communication and teamwork skills.
  • Knowledgeable in major machine learning frameworks like TensorFlow and PyTorch.
  • Hands-on experience in reinforcement learning techniques (PPO, DQN, DDPG).
  • A robust portfolio of publications in machine learning and computer vision journals.

Responsibilities

  • Conduct AI and machine learning research for Embodied AI applications.
  • Advance end-to-end perception and planning in ADAS using large vision-language-action models.
  • Collaborate with global teams for technology transfer and integration.
  • Implement research findings to enhance Bosch's existing systems.
  • Engage with the academic and industry community at conferences and workshops.
  • Document research through high-quality publications and patents.

Benefits

  • Premium health coverage
  • 401(k) with generous matching
  • Resources for financial planning
  • Ample paid time off
  • Parental leave
  • Comprehensive life and disability protection
Full Job Description
Job Description

As a Senior Research Scientist- Vision-Language-Action (VLA) Models, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include:
  • Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc.
  • Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities 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 system integration within Bosch's existing platforms.
  • Stay at the forefront of innovation by actively 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 Master's degree with >= 2/4 years industry experience after graduation.
  • A minimum of 5 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 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 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.


Additional Information

We offer a competitive base salary for this position with a range in US-California of --$185,000 - $215,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the 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 well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.

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