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Deep Learning Field Engineer

Matroid

Palo Alto, CAJobPosted 2y agoStill listed 5 days ago

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At a glance

Compensation
No compensation found
Location
Palo Alto, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Matroid seeks a Deep Learning Field Engineer to design, train, and deploy computer vision systems for industrial applications, integrating models into customer workflows and providing technical expertise and training at their Palo Alto office.

Skills & qualifications

RequiredNice to have

Skills

TensorFlowArtificial IntelligenceProject ManagementGuruDeep LearningMachine LearningProfessional ServicesComputer VisionAdvocacyPyTorchSoftware EngineeringPresentationCommunication

Qualifications

Bachelor's Degree in Computer Science or Related Technical FieldGraduate Degree in Computer Vision or Related FieldExperience Training and Deploying State‑of‑the‑Art CV Models Using TensorFlow or PyTorch

Benefits

Medical Insurance
Dental Insurance
Vision Insurance

Full job description

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 and 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 and 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, deployment and integration.
  • 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 be an AI orchestrator – integrating deep learning solutions with customers’ internal systems, actively driving decisions and delivering real-world impact.
  • 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.

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.

How this job compares

Set against the 2,205 open Field Engineer jobs on Olive Jobs, counted October 31, 2026.

Pay
  • This postingNot listed
  • California median$95–130K/yr144 salary ranges
  • US median$21–25/hr224 hourly ranges
Openings
Olive Jobs lists 193 open Field Engineer jobs in California and 2,205 across the US. 3% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Field Engineer postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 5 years (1,389 postings).
Education
This posting asks for a bachelor's degree; 981 of the 2,205 open Field Engineer jobs (44%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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