Algorithm Engineer, Deep Learning & Vision

About the role

At Bot Auto, we are transforming the logistics of goods transportation through our innovative autonomous trucks, improving community life worldwide. Our team combines the agility of a startup with the expertise of seasoned professionals, achieving remarkable milestones and innovations. Join us in shaping the future of transportation and turning your aspirations into reality.

Key facts

What you'll do

• Contribute to the design, training, and enhancement of advanced deep learning models for autonomous driving, focusing on comprehensive architectures that include perception, online mapping, and planning.
• Participate in the complete machine learning process, guided by experts, from data collection and analysis to model testing, hyperparameter optimization, and thorough performance evaluation.
• Collaborate with teams in simulation, infrastructure, and planning/control to implement, assess, and integrate machine learning components into the production pipeline for our autonomous trucks.
• Keep up with the latest advancements in computer vision and generative AI, and actively evaluate promising state-of-the-art methods to address real-world challenges.

Requirements

• Education: A Bachelor's, Master's, or Ph.D. in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative discipline. Upcoming graduates are welcome to apply.
• Experience with training neural networks is essential. We value practical experience gained through coursework, research, personal projects, open-source contributions, or internships.
• A solid theoretical understanding of machine learning and deep learning, with familiarity with contemporary architectures such as Transformers, CNNs, and Graphs.
• Proficiency in Python and deep learning frameworks like PyTorch, along with strong software engineering skills, including knowledge of data structures, algorithms, and clean coding practices.
• Attributes: Self-motivated, analytical, and problem-solving oriented, with the ability to learn quickly in a fast-paced startup environment and a collaborative team spirit.

Nice to have

• Experience in computer vision, particularly with 3D projects.
• Specialized research experience or an academic thesis in areas such as:
• Computer Vision (2D or 3D)
• Online Mapping, Vectorization, or Visual SLAM
• Prediction and Behavioral Modeling
• A history of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
• Practical experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
• Previous internships in the autonomous driving sector or advanced robotics laboratories.

Skills & tools

• Python
• PyTorch
• Machine learning frameworks
• Software engineering fundamentals

Practical notes

• Visa sponsorship is available for qualified candidates.
• We offer competitive salaries and benefits.
• Applications will be accepted until [insert application deadline].