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AI Research Engineer: Transforming Self-Driving Technology

1 month ago


San Francisco, California, United States Waabi Full time
Company Overview

Waabi is an AI company revolutionizing the self-driving industry with cutting-edge technology. Our team of world-renowned scientists and engineers are pushing the boundaries of what's possible, working together to bring safe and efficient self-driving solutions to the market.

Salary and Benefits

The estimated salary for this role in the US is between $122,000 - $215,000 per year, in addition to competitive perks and benefits. This includes equity awards, annual performance bonuses, health and wellness benefits, unlimited vacation time, flexible hours, work-from-home support, daily drinks and snacks, and regularly scheduled team-building activities.

Job Description

Research Engineer

We're seeking a highly skilled Research Engineer to join our team, contributing to the development of innovative self-driving technologies. 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 experts, utilizing real-world data and simulations to improve the accuracy, robustness, and safety of our self-driving algorithms. Your expertise in deep learning, computer vision, and self-driving technologies will be invaluable in formulating problems and proposing pragmatic solutions.

In this role, you'll have the opportunity to:

  • Prototype, evaluate, and iterate on solutions to improve the accuracy and robustness of our self-driving algorithms.
  • Formulate problems and propose pragmatic 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.
Required Skills and Qualifications

To succeed in this role, you should have:

  • 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.
Additional Nice-to-Have Qualifications

While not required, having these qualifications would make you a stronger candidate:

  • Master's or Ph.D. in machine learning, computer science, engineering, or a related field.
  • Experience 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 working with platform teams and collaborating with research teams to implement and validate deep learning models.

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