drjobs Senior Machine Learning Engineer (End-to-End Driving)

Senior Machine Learning Engineer (End-to-End Driving)

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

$ 120000 - 320000

Vacancy

1 Vacancy

Job Description

We are looking for the best

At 42dot our Senior Machine Learning Engineer team focuses on developing state-of-the-art solutions in Motion Planning algorithms. We create advanced prediction algorithms for future path planning a critical aspect of ensuring the safety and reliability of autonomous driving systems. By utilizing vast datasets we conduct comprehensive analyses of driving patterns allowing us to design algorithms that facilitate smooth and natural vehicle control. Our goal is to drive the innovation needed to shape the future of autonomous driving technologies.

Responsibilities

  • Lead the design and development of advanced machine learning models for autonomous driving tasks including perception decision-making and control

  • Drive end-to-end machine learning pipeline development from data collection and preprocessing to model training optimization and deployment

  • Apply state-of-the-art deep learning techniques such as reinforcement learning imitation learning and self-supervised learning to improve autonomous driving performance

  • Optimize model performance in real-world driving conditions and ensure seamless integration with the vehicles software stack

  • Collaborate with cross-functional teams including software hardware and vehicle control to align machine learning systems with overall vehicle architecture

  • Mentor junior engineers and provide guidance on best practices for machine learning development

  • Stay updated on the latest trends and research in machine learning and autonomous driving bringing innovative approaches to the team

Qualifications

  • Masters or Ph.D. in Computer Science Machine Learning AI Robotics or a related field

  • Extensive experience with deep learning algorithms (CNN RNN Transformer) and their applications in autonomous systems

  • Strong proficiency in Python and machine learning frameworks (TensorFlow PyTorch) with a proven track record of deploying models in real-world systems

  • Deep understanding of reinforcement learning imitation learning and advanced optimization techniques

  • Experience working with large-scale datasets and cloud-based machine learning pipelines

  • Excellent leadership and communication skills with a demonstrated ability to lead technical projects

Preferred Qualifications

  • Strong background in autonomous driving technologies and end-to-end learning for self-driving cars

  • Experience with hardware-in-the-loop (HIL) testing and real-time deployment

  • 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 - Coding Test - 1st Interview - 2nd Interview - 3rd Interview - Offer

  • The process may vary by position and is subject to change

  • Schedule and results will be communicated via the email provided in your application

Additional Information

Please review the following information before applying.

Base Salary :

$120000 - $320000


Required Experience:

Senior IC

Employment Type

Full-Time

Department / Functional Area

Engineering

About Company

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