Deep Learning Engineer
| Company | Matroid |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Junior, Mid Level |
Requirements
- Masters in Computer Science, Software Engineering, Mathematics, or equivalent
- Experience using state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
- 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
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
Responsibilities
- Advance the computer vision and deep learning technology powering Matroid’s computer vision platform
- Keep on top of the latest developments and research in academic CV/DL and how we can apply them to our real world use-cases
- Engineer new DL capabilities end-to-end; experiment, iterate, develop, optimize and productionize
- Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering
Preferred Qualifications
- Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields
- Computer vision & deep learning academic and/or research experience
- Prior work experience with applied computer vision in real-world use-cases
- Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
- Previous work at high-growth technology startups