About Matroid
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others. Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.
We are looking for a Deep Learning Engineer to build the models, capabilities, and systems at the heart of our multimodal vision platform. This is a broad and deeply technical role, with significant ownership and impact. You’ll rapidly take ideas from research all the way to production: apply the latest techniques to build and deploy new platform capabilities, solving visual inspection for our customers. You’ll work in a fast-paced environment alongside experts who are passionate about their work.
This position is onsite five days a week at our downtown Palo Alto office, near the Stanford campus and Caltrain.
What you’ll do
- Research: Critically analyze the latest research in computer vision and deep learning, and decide what’s worth adapting for use in our platform
- Build: Design, adapt, and train models across detection, segmentation, anomaly detection, tracking, video understanding, vision-language, and 3D reconstruction tasks
- Engineer: Turn new models and techniques into platform capabilities that customers can train and deploy on their own data and use cases
- Deploy: Optimize architectures & deployment systems for fast, cost-efficient inference, from cloud GPUs to small edge devices
- Collaborate: Work with product, infrastructure and field engineering teams to drive your models & capabilities from idea to customer impact
What you bring to the table
- Master’s in Computer Science, Software Engineering, Mathematics, or a related field, or a Bachelor’s with equivalent experience
- Excitement about the full range of this work, whether it's building novel video transformer architectures, getting realtime segmentation running on a tiny edge device, or making 3D reconstruction work reliably on customer data
- 3+ years of industry and/or academic experience in deep learning, computer vision, and software engineering
- Experience building ML systems & capabilities, not just scripts & one-off experiments
- Familiarity with modern architectures and techniques: the latest foundation models, how they work, what you can do with them
- Strong software engineering skills in Python and PyTorch; you care about the quality of your code
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
Bonus points if...
- Significant computer vision and deep learning research experience
- Prior work applying computer vision to real-world use cases
- Experience productionizing models, including inference optimization (e.g. TensorRT, ONNX) and serving (e.g. Triton Inference Server)
- Experience with 3D reconstruction and scene representation (e.g. COLMAP, VGGT, 3D Gaussian splatting, world models)
- Experience building or operating multi-tenant ML products
- Open-source contributions to ML tooling, cool personal projects, competitions, or hackathons
- Previous work at high-growth technology startups
What we offer in return
- Competitive pay and equity
- The chance to constantly work on stimulating intellectual challenges
- Gym membership reimbursement
- Free lunch, healthy drinks, and snacks every day
- Medical, dental, and vision insurance with 100% paid premiums
- A budget for whatever hardware or software will make you most effective
- Regular tech talks on the latest advances in CV, DL, and engineering
Skills Required
- Master’s degree in Computer Science, Software Engineering, Mathematics, or a related field, or a bachelor’s degree with equivalent experience
- 3+ years of industry and/or academic experience in deep learning, computer vision, and software engineering
- Experience building machine learning systems and capabilities rather than only scripts or one-off experiments
- Familiarity with modern architectures, foundation models, and current deep learning techniques
- Strong software engineering skills in Python and PyTorch
- Strong oral, written, presentation, collaboration, and interpersonal communication skills
- Significant computer vision and deep learning research experience
- Experience applying computer vision to real-world use cases
- Experience productionizing models, including inference optimization and model serving
- Experience with 3D reconstruction and scene representation
- Experience building or operating multi-tenant machine learning products
- Open-source contributions, personal projects, competitions, or hackathons
- Previous experience at high-growth technology startups
What We Do
Matroid makes computer vision simple by providing an easy-to-use, intuitive Studio for creating and deploying Detectors (computer vision models) to search video for actions, objects, and events with no additional programming required. Matroid can monitor any live stream or search recorded video, providing real-time notifications when events of interest have been detected. Matroid reduces operating costs associated with manually searching through video footage for an object or a specific person, and increases efficiency, safety, and regulatory compliance. Join us for an exciting career at the forefront of artificial intelligence.
