Research Engineer

As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.

You will...

- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.

- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.

- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.

- Champion engineering excellence, ensuring high-quality, well structured and tested code.

- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.

- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.

- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.

- Contribute to the publication of research findings in conferences as well as Waabi's blog.

Qualifications:

- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

- Experience working on applied research projects.

- Passion for taking research ideas and turning them into practical solutions for real-world applications.

- Solid understanding of computing fundamentals, including code efficiency.

- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.

- Comfortable working with large datasets for machine learning applications.

Bonus/nice to have:

- Master/PhD in machine learning, computer science, engineering, or a related field.

- Experience in shipping machine learning features/models into production.

- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.

- Previous experience in self-driving technology or related fields.

- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.

- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.

- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.

- Proficiency in Pytorch, Rust, C++ and/or CUDA.