Develop novel computer vision formulations, models, and algorithms for a wide variety of tasks.
Own the full development life cycle from data preparation to model deployment.
Design and build data and evaluation pipelines.
Collaborate with other teams to develop and continuously improve the full autonomy stack.
Requirements
Master’s or Ph.D. degree in robotics, computer science, or a related field, or equivalent industry experience.
Domain expertise in one or more of the following areas: object detection and tracking, pose estimation, depth estimation, vSLAM, neural rendering (e.g. NeRFs or gaussian splatting).
Understanding of modern deep learning techniques (Transformers, diffusion models, autoregressive models, multimodal models, CNN architectures, loss functions, etc.).
Comfortable with fundamental geometric concepts in computer vision, such as perspective transformation, pinhole camera model, and epipolar geometry.
Proficient in Python and experienced with machine learning frameworks such as TensorFlow, PyTorch, and JAX.
Experience developing C++ and Python packages in ROS/ROS2.
Skilled in using libraries such as OpenCV, OpenGL, or PCL.
Extensive practical experience in product-grade software and machine learning engineering, with knowledge of best practices and industry-standard development workflows.
Bonus Qualifications
Experience in CUDA and GPU programming.
Proficiency in C++ and experience converting models to C++-based frameworks such as ONNX and TensorRT.
Hands-on experience with sensor integration (e.g., RGB cameras, depth cameras, IMUs, LiDAR) and sensor fusion.
Familiarity with neural network deployment tools and MLOps practices, including Triton, TensorRT, and model quantization.
Research publications in computer vision/perception (e.g., CVPR, ICCV, ECCV), along with practical deployment experience.
Experience in developing and fine-tuning AI agents and Vision-Language Models (VLMs).
Benefits
Located in the center of the city: Just across the street from Dongmen MRT Station exit 6.
Competitive salary: Compensation packages aligned with global Tier-1 cities.
Incentives: Long term incentive plans currently under development. Coming soon.
Performance bonuses: Awarded based on annual company performance and individual contribution.
Insurance coverage: Labor, health, pension, occupational injury... etc.
Flexible hours: Flexible start and end times to support work-life balance.
Hybrid work: Option to work remotely 2 days a week.
Legal benefits coverage: Includes labor insurance, national health insurance, pension contributions, occupational injury protection, special leave, and marriage leave.
Learning support: Tuition subsidies available for approved external training or professional development programs.
In-house culinary workshops: Team cooking sessions for fun and learning the way of the wok.
