Machine Learning Engineer (End-to-End Driving)
Mountain View, United States
42dotFull-time

We are looking for the best

At 42dot, our team of skilled Machine Learning Engineers is dedicated to pioneering cutting-edge solutions in Motion Planning algorithms. We specialize in researching and developing advanced algorithms for predicting future paths, essential for ensuring the safety of autonomous driving systems. Leveraging extensive datasets, we conduct in-depth analysis of driving patterns to design algorithms that enable smooth and natural control of autonomous vehicles. Our commitment lies in delivering innovative technologies that pave the way for the future of autonomous driving.

Responsibilities

  • Research and development of motion prediction algorithms for autonomous driving such as surrounding vehicles and pedestrians

  • Exploring predictive algorithms, prototyping, and validating

  • Modeling data-driven driving algorithms

  • Deploying models to autonomous driving systems by optimizing and improving the performance of algorithms

  • Work with Perception/Planning engineers to improve self-driving performance

  • Development of evaluation indicators and systems to evaluate developed algorithms

Qualifications

  • Minimum of 7 years of relevant experience

  • A master's/doctor's degree or higher, or equivalent experience in computer science, electronics, or related fields

  • Deep understanding and practical experience in learning self-driving systems and deep learning models

  • Deep understanding of vehicle dynamics models

  • Superior programming skills (C/C++, Python, etc.)

  • mathematical reasoning ability related to probability

Preferred Qualifications

  • Experience in research and development related to autonomous driving and robotics

  • ROS1/ROS2 experience

  • Experience deploying predictive models in real-world environments

  • Inference optimization experience (TensorRT, CUDA programming, etc.)

  • History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.)

Interview Process

  • Application Review - 1st interview - 2nd interview - 3rd interview - Offer Negotiation - Hiring

  • Screening procedures may be operated differently for each job and may vary depending on the schedule and situation.

  • The screening schedule and results will be notified individually by email registered on the application form.

Additional Information

  • In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

  • All documents must be submitted in PDF format and under 30MB in size.

  • If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.

  • We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

  • Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

  • 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

  • 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.