Deep Learning Field Engineer

Updated October 25, 2026

$150,000–$300,000Palo Alto, CAOn-site2w ago

Deep Learning Field Engineer responsible for building, deploying, evaluating, and integrating computer vision systems across cloud, edge, and hybrid environments.

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View posting at Matroid

At a glance

Posted base pay

$150K–$300KAbove the median

Median $190K

This job$150K–$300KTypical senior FDE payMiddle 50% of 1,789 postings$160K–$220K

The work

Builds what the customer runs

Balance

Mostly building
Mixed
Mostly pre-sales or support

Project stages

Pre-sales
Proof of concept (not covered)
Implementation
Operations (not covered)

Coding: Writes production code
Builds for: External customers
Level: Senior
Role: Technical lead

What they ask for

Tools

TensorFlow
PyTorch
object detection
anomaly detection
panoptic segmentation
action recognition
tracking
manufacturing execution systems
video management systems

Less common in FDE jobs

Covers pre-sales25%
On-site37%
Individual contributor or manager: Technical lead47%

Share of US FDE postings that state each fact.

What you’ll do

Train computer vision models for detection, segmentation, recognition, tracking, and anomaly detection use cases.
Deploy end-to-end computer vision systems in cloud, edge, and hybrid environments.
Integrate computer vision systems with manufacturing, safety, and video management workflows.
Evaluate and iterate on systems to meet quantitative and qualitative performance requirements.

What you’ll bring

Bachelor’s degree in computer science, computer engineering, electrical engineering, or another technical field.
Experience training and deploying computer vision models with TensorFlow or PyTorch.
Strong software engineering skills.
Strong oral, written, presentation, collaboration, and interpersonal communication skills.

View posting at Matroid