Experienced Machine Learning Engineer

Einride, founded in 2016, is revolutionizing road freight with digital, electric, and autonomous technologies. As the first company to deploy a cab-less autonomous electric vehicle on public roads in Sweden (2019) and the US (2022), Einride serves Fortune 500 clients across 8 countries. They're seeking passionate Machine Learning Engineers to join their innovative team.

As a Machine Learning Engineer at Einride, you'll:

• Design, implement, and optimize models for autonomous driving production systems
• Explore, prototype, and evaluate state-of-the-art algorithms
• Develop core deep learning software for efficient training, testing, and deployment pipelines
• Mentor and lead others, guiding technology decisions

Key requirements:

• Strong programming skills in C++, Python, or similar languages
• In-depth understanding of Machine Learning and Deep Learning architectures
• Experience in areas like 2D/3D object detection, classification, segmentation, multi-object tracking, sensor fusion, and motion prediction
• Proficiency with LIDAR and/or camera data, large datasets, and deep learning frameworks like PyTorch
• Deep knowledge of linear algebra, probability, and statistics theory

Bonus skills:

• PhD in machine learning, computer vision, robotics, or related field
• Experience with autonomous vehicles
• Experience using Go
• Expertise in optimizing and deploying deep learning models in real-world environments

Einride values diversity and believes that their best innovations come from a diverse mix of people with different experiences and perspectives. Join their team to be part of transforming road freight for a sustainable future.