About Matroid
With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital, and has a broad range of customers and partners in manufacturing, aerospace, transportation, security, safety, and compliance.
We're looking for a Deep Learning Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization, safety, and compliance.
What you'll be doing
- Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition, and tracking.
- Deploy end-to-end CV systems across a range of environments (cloud, edge, hybrid).
- Integrate Matroid into inspection workflows and third-party systems, such as manufacturing execution systems, safety alert systems and video management systems.
- Perform quantitative and qualitative evaluation of the CV system and iterate on it to meet performance requirements.
- Act as the technical expert, advising on all matters from technical scoping of engagements to model training to deployment.
How you'll be doing it
- You will be a computer vision guru - intelligently and efficiently translating business problems into performant CV solutions.
- You will be a product expert - selecting the best features to solve the task at hand.
- You will operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
- You will know that almost everything you build affects real-world users, and you will appropriately set the quality standards for your work.
- You will be working collaboratively alongside other engineers to develop new features for the platform.
- You will learn a lot along the way, diving into new technologies and the world of CV both on your own and during frequent company tech talks.
What you bring to the table
- Bachelors in Computer Science (AI/ML specialization), Electrical Engineering, Statistics, Mathematics (Probability), or another technical field.
- Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.
- Knowledge of leading model architectures and techniques across a broad range of domains, including image classification, object detection, image segmentation, anomaly detection, and object tracking.
- Strong software engineering skills.
- Solid oral, written, presentation, collaboration, and interpersonal communication skills.
- Willingness and eligibility for security clearance up to TS/SCI.
Bonus points if...
- Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.
- Previous work experience in field engineering, professional services, consulting, or another customer-facing field.
- Experience with 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 flexible schedule that leaves time for all of your other interests.
- A budget for whatever hardware or software will make you most effective.
- Resources to learn about the cutting edge of software engineering and computer vision.
Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
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