Senior Staff Software Engineer, Machine Learning

At Stack, we are at the forefront of AI advancements across diverse technical domains, revolutionizing how AI is applied in the physical world. Our solutions are engineered to navigate and comprehend the world with unparalleled safety, reliability, and efficiency, transforming modern industry operations. We are seeking a Senior Staff Software Engineer specializing in Machine Learning to join our team.

The ideal candidate will be an expert ML researcher/engineer capable of developing state-of-the-art deep learning/machine learning models to enhance our perception solutions under challenging and diverse driving scenarios. You'll need a strong mathematical background, extensive research experience, and a practical, product-focused mindset to produce highly performant safety-critical perception solutions.

Key responsibilities include:

• Researching and developing cutting-edge deep learning / machine learning approaches for efficient and robust world perception in self-driving systems.
• Owning the delivery of perception modules that solve complex on-vehicle autonomy problems.
• Guiding software development from prototype to production, including training and analysis on large-scale data sets and deploying real-time AV platform solutions.
• Leading technical topics, influencing others, building consensus, and making progress on ambiguous technical problems.
• Deploying models to production in resource-constrained environments.

Required qualifications:

• Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant AI areas.
• Proven track record in driving deep learning applied research projects from conception to completion.
• Excellent cross-team collaboration skills.
• Extensive experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Excellent software engineering skills in Python and/or C++.

Preferred qualifications:

• PhD in machine learning, computer vision, robotics, or a related field.
• Experience deploying perception algorithms and models in real-world environments.
• Prior industry experience in autonomous vehicles or robotics.
• Strong publication record in top-tier machine learning conferences.

Join us in shaping the future of AI technology and transforming how modern industries operate. Apply now to be part of our innovative team at Stack!