Machine Learning Engineer

TL;DR

Machine Learning Engineer (Computer Vision): Working on sensing and perception algorithms for autonomous vehicles with an accent on sensor calibration, localization, mapping, fusion, tracking, and pattern recognition. Focus on prototyping, deploying, benchmarking robust computer vision algorithms on vehicle fleets, and delivering high-quality code independently while collaborating on testing and evaluation.

Location: Remote, US

Company

Autonomous vehicle technology company developing self-driving solutions for vehicle fleets.

What you will do

• Develop and deploy computer vision algorithms for sensor calibration, localization, mapping, fusion, tracking, and pattern recognition.
• Prototype robust perception algorithms on real-world vehicle fleet data.
• Benchmark and maintain developed modules for performance and reliability.
• Deliver high-quality code independently in a timely manner.
• Collaborate with team on testing, evaluation, and code reviews.

Requirements

• Degree in Computer Science, Electrical Engineering, Robotics, or related field.
• Experience deploying deep learning models at scale on real-world data using PyTorch, TensorFlow, or Caffe.
• Hands-on experience developing, training, and deploying deep learning models on multimodal sensor data.
• Strong Python and/or C++ programming skills.
• Strong presentation and communication skills.
• Passion for self-driving vehicles and real-world robotics.

Nice to have

• Publication record in top-tier computer vision or machine learning conferences.
• 3+ years industrial experience deploying CV/DL algorithms in real-world scenarios.
• Experience in robotics or autonomous systems.