Research Scientist - Robotics AI

Description

The role is a research scientist position in robotics AI, supporting research projects in the ADAS and autonomous driving industry.

The work covers core AI and machine learning for embodied AI, including computer vision, autonomous planning and open-world learning, applied to ADAS and autonomous driving, industrial automation and robotics.

Responsibilities

• Build reasoning and explainability into AI-based robotics by applying advances in large vision-language-(action) models.
• Put research results to work on real-world problems and integrate them into the company's existing platforms at high quality.
• Work with research and engineering teams across the globe to transfer technology and integrate systems smoothly.
• Take part in conferences, workshops and technical events to keep up with academic and industry work.
• Write up research findings as high-quality publications and/or patent filings.
• Push forward the state of the art in AI-based robotics.

Requirements

• A PhD in computer science, robotics or a related field, or a master's degree plus at least 2 years of industry experience after graduation.
• At least 3 years of R&D experience, or an equivalent graduate research background, mainly in AI, including computer vision and robotic or automotive motion and behavior planning.
• Proficiency in at least one programming language used in machine learning, such as Python, C++ or Rust.
• Working knowledge of major machine learning frameworks such as TensorFlow or PyTorch.
• Hands-on reinforcement learning experience for behavior or motion planning or similar settings, with familiarity with common RL methods such as PPO, DQN and DDPG.
• A strong record of publications in leading machine learning, deep learning, robotics and computer vision journals and conferences.
• Strong interpersonal, communication and teamwork skills.
• Preferred: experience developing and deploying autonomous systems in real products.
• Preferred: hands-on work building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models.
• Preferred: hands-on computer vision and deep learning work in any of the following: multimodal transformers, multimodal language models, diffusion models, NeRF, Gaussian splatting, object detection or segmentation, 3D scene understanding, sensor calibration, SfM, or voxel/BEV grid-based feature representation.

Conditions

Location: US-California.

Base salary range of $165,000 to $185,000, with pay set by factors such as experience, job knowledge, role complexity and job location.

Equal-opportunity statement omitted as not stated in the original posting.

Benefits

• Annual corporate bonus and a long-term incentive bonus that rewards sustained impact and contribution over time.
• Premium health coverage, a 401(k) with generous matching, financial planning resources, ample paid time off, parental leave, and comprehensive life and disability protection.
• Benefit details are shared by the recruiter during the interview process.