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Deep Learning Engineer
Matroid · Palo Alto, United States
About The Role
Join Matroid, a cutting-edge computer vision platform, as a Deep Learning Engineer. In this role, you will advance our technology, collaborate with experts, and make a real-world impact. Enjoy competitive salary, equity, flexible hours, and a range of benefits including free lunch, gym membership, and health insurance.
- Advancing the computer vision and deep learning technology powering Matroid's computer vision platform.
- Researching, experimenting, iterating, developing, optimizing, and productionizing new deep learning capabilities.
- Collaborating with other deep learning engineers and expert teams to ensure high-quality code and effective implementation.
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
- Masters in Computer Science, Software Engineering, Mathematics, or equivalent
- Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
- Strong software engineering skills - you care deeply about the quality of your code
- Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
- 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
- Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
- Specialization in CV, artificial intelligence, machine learning, or related fields
- Significant computer vision & deep learning academic and/or research experience
- Prior work experience with applied computer vision in real-world use-cases
- Previous work at high-growth technology startups
- Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
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