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Urgently Hiring Computer Vision Deep Learning Engineer Jobs

ISEE

Machine Learning Engineer

... in deploying Computer Vision/Deep learning algorithms in real-world scenarios. * Robotics ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Flexibility in our hiring process allows hiring of talent at levels different from what are posted.

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Flexibility in our hiring process allows hiring of talent at levels different from what are posted.

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

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How much do urgently hiring computer vision deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for urgently hiring computer vision deep learning engineer in the United States is $93,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $110,000.00 per year, depending on experience, location, and employer.
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Machine Learning Engineer

Machine Learning Engineer

ISEE

Remote

Full-time

Posted 25 days ago

Job description

ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.
Role responsibilities include:
  • Working on the intersection of sensing and perception algorithms.
  • Prototyping and deploying robust computer vision algorithms on ISEE's vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
  • Benchmarking and maintaining developed modules.
  • Work independently to deliver high-quality code in a timely fashion.
  • Collaborate with team for testing, evaluation and review of code.

Required Qualifications
  • Degree in Computer Science, Electrical Engineering, Robotics or related field.
  • Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
  • Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
  • Strong Python and/or C++ skills.
  • Passionate about self-driving vehicles and real-world robotic solutions.
  • Strong presentation and communication skills.

Preferred
  • Publication record in top-tier computer vision or machine learning conferences.
  • 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
  • Robotics/autonomous experience is a plus.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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