Deep Learning Field Engineer Job Palo Alto area,California USA,Software Development

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 Tensor Flow 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.

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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