Research Engineer
Research Engineer
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.
Contribute to the publication of research findings in conferences as well as Waabi's blog.
- 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.
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.
- Publishations 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.
Pay
The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits.
Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.