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Live In Medical Image Deep Learning Jobs (NOW HIRING)

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

In this role, you will build, train, evaluate and deploy state of the art ML models in production ... using deep learning. * Articulate ideas both verbally and in written form culminating in clear ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous ... Develop and deploy deep learning models, including vision language models (VLMs) and Large Language ...

Mount Sinai Hospital

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 ...

Toyon

Deep Learning Algorithm Developer

Goleta, CA

$120K - $200K/yr

Experience in Computer Vision is desired for current openings. Our researchers apply AI/ML ... Competitive Industry Pay * 100% Employer-Paid Medical Insurance Premium * HSA with Employer ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$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 ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

... medical images. * Implement deep learning architectures for image analysis and classification tasks. * Participate in the design and implementation of clinical studies to evaluate the performance of ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$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 ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/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 ...

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Live In Medical Image Deep Learning information

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

As of Jul 18, 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.

Is ML a high paying job?

A career in machine learning, including roles like live-in medical image deep learning specialists, generally offers high salaries due to the specialized skills and demand for expertise in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles are typically well-compensated compared to many other tech positions.

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 jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions often involve developing algorithms for image analysis, natural language processing, and predictive modeling, frequently requiring programming skills in Python and frameworks like TensorFlow or PyTorch.

What are the applications of deep learning in medical imaging?

In the role of a Live In Medical Image Deep Learning specialist, deep learning is applied to automate and improve the accuracy of medical image analysis, including tasks such as tumor detection, segmentation, and disease classification. These applications enhance diagnostic efficiency and support clinical decision-making using tools like convolutional neural networks (CNNs) and large datasets for training models. Skills in image processing, programming, and understanding of medical imaging modalities are essential for this work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often in specialized fields like medical image deep learning. These roles usually require advanced skills in deep learning frameworks, extensive experience, and may involve leadership responsibilities or cutting-edge research. Compensation at this level reflects significant expertise and impact within the organization.
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:
Live In Medical Image Deep Learning jobs near you
Deep Learning Engineer

Deep Learning Engineer

Hayden AI

San Francisco, CA • On-site

$161K - $175K/yr

Full-time

Posted 29 days ago

Job description

About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
About the Deep Learning Team
The Deep learning team's work is at the crux of Hayden AI's solutions to its customers. The team is responsible for building and maintaining advanced models that are able to perceive the world and the knowledge produced by the models is used downstream to implement various customer use-cases. The team runs a number of models both in the cloud as well as on the edge device serving different scenarios. The team also works closely with the platform team to build out Hayden AI's MLOps infrastructure to achieve better scale and reliability.
About the Role
As a Deep Learning Engineer at Hayden, you will make key contributions towards building foundational AI capabilities for Hayden that will enable solving complex problems for Hayden AI Customers. In this role, you will build, train, evaluate and deploy state of the art ML models in production at scale. You will report into the Director of AI within the Perception Org and work closely with other engineering as well as product teams to deliver value to Hayden AI customers. We are looking for someone who has familiarity with or growing expertise in at least one of the verticals below - depth in a specific area is valued but not required on day one.
  1. 3D vision models to predict depth and 3D structure,
  2. Video/temporal behavior models to predict intent,
  3. Deep understanding of Vision language models and hands-on experience fine tuning them,
  4. Deep understanding of foundation models in perception.
  5. Deep knowledge of Nvidia edge device stack for running ML models and cuda know-how in terms delivering highly optimized models

This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week.
Key Responsibilities
Below are your primary responsibilities. These represent the core areas where you'll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.
  • Come up with solutions to complex problems in perception using deep learning.
  • Articulate ideas both verbally and in written form culminating in clear design and project plan docs for their work
  • Contribute to team roadmap and planning
  • Work with cross functional teams across the company and contribute towards delivery of end to end solutions for the customer

Required Qualifications
The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.
  • Experience: 1-2 years experience building and deploying machine learning models for perception in production settings.
  • Core Skills: Solid hands-on experience designing, training, and evaluating machine learning models for perception. Demonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure); familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows. Hands-on experience in PyTorch, Python, and related skills.
  • Personal Attributes:Good communicator, self starter and ability to collaborate with others, quick learner who can adapt to a fast paced startup culture
  • Education: Bachelors or Masters in Computer Science or related field
  • Nice to Have: Experience working in perception problems in self driving car companies that aligns closely with the work of this team.

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