Research Scientist- Vision-Language-Action Models for Autonomous Systems
Aufgaben
- 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 (AI+IoT) 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 Bosch's operational units.
- Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's 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.
Profil Basic Qualifications
- Ph.D. in Computer Science, Robotics or a related discipline or Master’s 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.
Basic Qualifications
- Ph.D. in Computer Science, Robotics or a related discipline or Master’s 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.
Kontakt & Wissenswertes
The U.S. base salary range for this full-time position is $ 160,000 - $ 200,000. Within the range, 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 Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
Equal Opportunity Employer, including disability / veterans.
*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.
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