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Live In Medical Image Deep Learning Jobs (NOW HIRING)

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Background in machine learning, medical imaging and optimization methods, ideally with demonstrated experience in deep learning in medical image analysis (image segmentation/registration/synthesis ...

... skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of ... In this role, you will characterize these emerging workloads and develop novel methods to optimize ...

Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize ... Medical, dental, and vision insurance with 100% paid premiums. * A flexible schedule that leaves ...

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

New

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop ... D. in Computer Science, Computer Engineering, related field or equivalent experience • 3+ years ...

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Live In Medical Image Deep Learning information

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$28K

$45K

$58.5K

How much do live in medical image deep learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for live in medical image deep learning in the United States is $45,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $48,500.00 per year, depending on experience, location, and employer.

What is the difference between Live In Medical Image Deep Learning vs Medical Imaging Specialist?

AspectLive In Medical Image Deep LearningMedical Imaging Specialist
CredentialsTypically requires a degree in computer science, AI, or related fields; certifications in deep learning or medical imaging are commonRequires degrees in radiology, medical imaging technology, or related healthcare fields; certifications in imaging modalities are often needed
Work EnvironmentPrimarily research labs, AI development teams, or healthcare tech companies; involves programming and data analysisHospitals, clinics, diagnostic centers; involves operating imaging equipment and patient interaction
Industry UsageUsed in developing AI algorithms for medical image analysis, diagnostics, and researchUsed in performing and interpreting medical imaging procedures for patient diagnosis

Live In Medical Image Deep Learning focuses on developing AI models for analyzing medical images, requiring programming and data science skills. In contrast, Medical Imaging Specialists perform imaging procedures and interpret results in clinical settings. Both roles are essential in healthcare but differ in their focus and daily tasks.

What cities are hiring for Live In Medical Image Deep Learning jobs? Cities with the most Live In Medical Image Deep Learning job openings:
What are the most commonly searched types of Medical Image Deep Learning jobs? The most popular types of Medical Image Deep Learning jobs are:
What states have the most Live In Medical Image Deep Learning jobs? States with the most job openings for Live In Medical Image Deep Learning jobs include:

Deep Learning Manipulation Engineer

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Posted 7 days ago


Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Deep Learning Engineer to develop and refine models for robotic manipulation. You will design, train, and deploy algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with our machine learning, robotics, and research teams, you'll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild AI's robotics capabilities, enabling robots to perform complex tasks autonomously.
Responsibilities
  • Design, implement, and optimize deep learning models for robotic manipulation.
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
  • Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms.
Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning.
  • Experience with distributed deep learning systems.

Base Salary Range
$100,000-$300,000 USD