Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM

Botauto; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Botauto in Houston is looking for a machine learning expert to work on autonomous driving technologies. The role involves exploring deep learning techniques and collaborating with various teams to enhance machine learning applications.

Candidates should have an advanced degree in related fields and extensive experience in machine learning and computer vision. Strong motivation for independent work in a fast-paced environment is essential.

Qualifications

• Advanced degree (Ph.D or Master’s) in computer science, robotics, mathematics, or physics.
• In-depth knowledge of machine learning and/or computer vision.
• Familiarity with PyTorch, TensorFlow, and other ML tools.

Responsibilities

• Explore and propose new ideas in deep learning and autonomous driving.
• Work on the entire life cycle of machine learning projects.
• Collaborate with other teams to extend machine learning technology to all components.

Skills

Deep learning

Machine learning

Computer vision

PyTorch

TensorFlow

Large foundation models

Neural networks

Education

PhD or Master's in related fields

Job description

Key Responsibilities

• Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
• Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
• Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.

Qualifications

Required

• Have an advanced degree (Ph.D or Master’s) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
• Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
• Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
• Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.

Preferred

• Have a proven track record of research publications in top conferences and/or journals as the first author.
• Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.