Deep Learning Field Engineer

1 week ago

Stanford, United States Matroid Full time
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 knowing 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 Field 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.

You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

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 and deployment.
  • Empower customers with CV by designing and leading product training sessions.
How you'll be doing it
  • You will be a computer vision guru - intelligently and efficiently translating business problems into performant computer vision solutions.
  • You will be a product expert - selecting the best features to solve the task at hand.
  • You will be a customer advocate - understanding their intimate requirements and relaying feedback to the broader Matroid team to drive customer-centric development.
  • You will operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
  • 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
  • Bachelor's degree in computer science, computer engineering, electrical engineering, or another technical field.
  • Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.
  • Strong software engineering skills.
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills.
  • Adept at communicating to both technical and commercial audiences.
  • 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 CV.
  • You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

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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