2

Remote Medical Imaging Machine Learning Jobs in Seattle, WA

Senior Enablement Analyst

Seattle, WA · On-site +1

$97K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... machine learning use cases. The ideal candidate combines strong technical fluency with clear ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$153K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience building and delivering machine learning, business intelligence, or data analytics ... Medical/Dental/Vision insurance, Company-matching 401(k) and Employee Stock Purchase Program, in ...

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience building and delivering machine learning, business intelligence, or data analytics ... Medical/Dental/Vision insurance, Company-matching 401(k) and Employee Stock Purchase Program, in ...

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience building and delivering machine learning, business intelligence, or data analytics ... Medical/Dental/Vision insurance, Company-matching 401(k) and Employee Stock Purchase Program, in ...

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience building and delivering machine learning, business intelligence, or data analytics ... Medical/Dental/Vision insurance, Company-matching 401(k) and Employee Stock Purchase Program, in ...

Remote Patent Attorney or Patent Agent

Seattle, WA · On-site +1

$140K - $180K/yr

  • Medical

  • Retirement

This is a remote position. Exciting Opportunity for a Highly Driven and Efficient Patent Attorney ... Machine Learning, e-Commerce, user interfaces, medical devices, batteries, optics, and materials ...

Senior Associate Decision Scientist

Bellevue, WA · On-site +1

$66K - $66K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning, and others to uncover hidden insights (5%); conducts basic exploratory data ... Medical * Dental * Vision * Health Savings and Flexible Spending Accounts * Life Insurance * Paid ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 41-60

Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

How does a remote medical imaging machine learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.

What are the key skills and qualifications needed to thrive as a remote medical imaging machine learning specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Seattle, WA?

The most popular types of Medical Imaging Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Remote Medical Imaging Machine Learning jobs in Seattle, WA?

For Remote Medical Imaging Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Medical Imaging Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Remote Medical Imaging Machine Learning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Medical Imaging Machine Learning jobs?

Cities near Seattle, WA with the most Remote Medical Imaging Machine Learning job openings:

Infographic showing various Remote Medical Imaging Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Principal Technical Program Manager , Annapurna ML

Amazon

Seattle, WA • On-site, Remote

$146K - $190K/yr

Full-time

Re-posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Annapurna Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 an Trn1n families of Machine Learning Accelerated EC2 instances. We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.
We're seeking a Principal Program Manager for the Annapurna ML, Neuron team

In this role you will be owning the capacity request lifecycle from intake through approval and delivery, coordinating across EC2, finance, and internal engineering stakeholders to secure and allocate Trainium instances. Establish and maintain dashboards, utilization metrics, and recurring review mechanisms to proactively identify gaps and drive resolution. You will be responsible for scoping and delivering large projects end-to-end.

Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, internal teams and external customers and partners to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.


The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in current machine learning technologies as well as products spanning multiple technical domains from higher performance networking/compute and drivers to compilers and software development programs . You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done.


As a Principal TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.
In this role you will:
Drive execution of projects
Provide technical direction with limited assistance
Lead cross functional project meetings
Lead milestone reviews
Present project status to the executive team
Manage project builds globally
Key job responsibilities
Work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.
About the team
Annapurna ML Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 and Trn2 families of Machine Learning Accelerated EC2 instances

We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US