Research Scientist- Vision-Language-Action Models for Autonomous Systems
Research Scientist- Vision-Language-Action Models for 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 open-world learning and so on) for related AIoT (AIIoT) business domains of autonomous driving industrial automation robotics etc.
- Push the boundaries in (modular) end-to-end perception and planning for automated driving incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability.
- Collaborate with a global team to transfer cutting-edge research findings to Boschs operational units.
- Implement research results to solve real-world challenges ensuring high-quality 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 high-caliber 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.
- Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models.
- Familiarity with concepts in vision-language-action models like MoE GRPO LoRA etc.
Preferred Qualifications
- Experience with real-world product development and deployment of autonomous systems.
- 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.
- A strong portfolio of publications in premier machine learning deep learning robotics and computer vision journals and conferences.
Additional Information :
We offer a competitive base salary for this position with a range in US-California of --$160000 - $200000 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: Opportunity Employer including disability / veterans.
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*Bosch adheres to Federal State and Local laws regarding drug-testing. 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 :
Full-time
Employment Type
Full-time
