AI/ML Engineer
Vanguard
AWSCloudPythonPyTorchScikit-LearnTensorflow
Deep Learning Engineer
Matroid, Inc.
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $300,000 per year
Job Level
Mid-LevelSenior
Tech Stack
IoTRay
About the role
- 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 decide how we should apply them to our real world use-cases
- Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize
- Operate in a collaborative but highly autonomous environment where you are empowered to make an impact
- Build with awareness that everything you build affects real-world users, with corresponding quality standards for your work
- Collaborate with other DL engineers, as well as product, infrastructure, and field engineering teams
- Work onsite at Matroid's downtown Palo Alto office, located near the Stanford campus and Caltrain
Requirements
- Masters in Computer Science, Software Engineering, Mathematics, or equivalent
- 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
- Experience using and modifying 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
- Passion for computer vision and deep learning; willingness to adapt latest VLMs, implement video transformer models, run realtime segmentation on tiny edge devices, or train industry-specific foundation models
- Onsite work at downtown Palo Alto office (position is onsite)
- Bonus points if Specialization in CV, artificial intelligence, machine learning, or related fields
- Bonus points if Significant computer vision & deep learning academic and/or research experience
- Bonus points if Prior work experience with applied computer vision in real-world use-cases
- Bonus points if Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
- Bonus points if Previous work at high-growth technology startups
