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Deep Learning Computer Vision Architect Jobs (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... Contribute to the architecture and implementation of the computer vision stack from research to ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... Contribute to the architecture and implementation of the computer vision stack from research to ...

Apple Inc.

Senior Computer Vision Architect

Sunnyvale, CA · On-site

$216K - $394K/yr

We do this by enabling the co-design of computer vision algorithms and systems through a deep ... Partner with hardware, software, and machine learning teams to influence their roadmaps. * Present ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

Description The Architecture team within our organization is responsible for bringing together ... We do this by enabling the co-design of computer vision algorithms and systems through a deep ...

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

The candidate is expected to drive architecture definition for next-generation deep learning engines and computer vision accelerators, including compute, memory, dataflow, scheduling, quantization ...

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

The candidate is expected to drive architecture definition for next-generation deep learning engines and computer vision accelerators, including compute, memory, dataflow, scheduling, quantization ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

... a lead deep learning engineer to spearhead the development of their groundbreaking sensing ... architecture and implementation of the computer vision stack from research to production ...

Apple

Real-Time Computer Vision Architect

Sunnyvale, CA

$184K - $324K/yr

Description The Architecture team within our organization is responsible for bringing together ... We do this by enabling the co-design of computer vision algorithms and systems through a deep ...

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Deep Learning Computer Vision Architect information

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How much do deep learning computer vision architect jobs pay per year?

As of Sep 10, 2026, the average yearly pay for deep learning computer vision architect in the United States is $175,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,500.00 and $182,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Deep Learning Computer Vision Architect jobs?

For Deep Learning Computer Vision Architect jobs, the most frequently searched job titles are:

Infographic showing various Deep Learning Computer Vision Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $175,000 per year, or $84.1 per hour.

Computer Vision/ML Engineer

Brooklyn, NY • On-site

Norbert Health
Fitness and Sports Centers • 11 - 50 employees
Learn more about Norbert Healthexternal

$117K - $138K/yr

Full-time

Re-posted 6 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team member-rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.

What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:

  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary and equity
  • Transparent, mission-driven culture focused on continuous learning
Employment Type: FULL_TIME

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