[Hiring] Machine Learning Engineer @Floy

Floy; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in medical AI is looking for a remote Machine Learning Engineer to develop cutting-edge algorithms for radiological diagnostics. You will work in a dynamic team focused on innovative solutions for unexplored medical problems, contributing from inception to clinical release.

Benefits

Flexible remote team culture

Company retreats

Fair compensation

Qualifications

• Experience in medical image processing or computer vision with deep learning.
• Strong understanding of machine learning concepts.

Responsibilities

• Develop innovative ML products for radiological image diagnostics.
• Process large medical image datasets for various modalities.

Skills

Machine Learning

Data Science

Communication

Teamwork

Education

Master's degree in Computer Science

Tools

Python

Job description

May 11, 2025 - Floy is hiring a remote Machine Learning Engineer. Location: Worldwide.

Your mission

We are seeking a highly skilled and experienced ML Engineer to join our team.
Floy is supporting radiologists by boosting their diagnostics efforts with unconventional AI products focused on overlooked diseases. You will be part of a fast-paced scientific team tasked to develop innovative algorithms to solve unexplored radiological diagnostics problems. This means that you are experienced with the latest ML/DL techniques in medical image processing (and computer vision), can think out-of-the-box, have the ability to understand the biology of various pathologies, the physics of different signal-acquisitions (CT, MRI, etc.), and to plan and execute R&D tasks with your team independently and passionately.
The goal is to push beyond the boundaries of the typically researched medical problems and build state-of-the-art models that provide a tangible benefit to real-world patients. Together with your team, you contribute to the model development from inception to clinical release. Where applicable, patents and publications in leading conferences/journals are encouraged.

Your responsibilities

• Develop innovative and cutting-edge ML products for radiological image diagnostics
• Generate intellectual property for Floy by pushing its abilities beyond the published SOTA and other competing companies
• Process large medical image datasets for various modalities (CT, MRI, etc.) in different formats (DICOM, NIFTI, etc.)
• Read, understand, and stay abreast with the published literature on various medical image processing & computer vision topics
• Understand biology and physics to comprehend organs, their pathologies, and the measuring abilities of various imaging modalities (CT, MRI, etc.)

What are we looking for?

• Master's degree in Computer Science or equivalent experience in a related field
• Previous position, thesis, or coursework in medical image processing (or computer vision) with DL
• Strong understanding of machine learning and data science concepts
• A keen eye for detail and a commitment to scientific accuracy
• Excellent written and verbal communication skills in the English language
• Strong commitment to teamwork and communication skills
• Proficiency in the Python deep learning and scientific stack

Good-to-have:

• Related publications (preferably in a conference such as MICCAI, ISBI, CVPR, ICCV, ECCV, ICIP, NeurIPS, ICLR, ICML, etc.)
• Experience with MLOps and reproducible experiment management

We are looking for brilliant, hard-working people who strive to become recognised thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.

Why us

Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication and a joyful work experience. Solve novel challenges with life-saving implications.

• We accelerate your learning with rapid feedback, weekly 1:1 sessions and inspiring problems.
• We give you autonomy, flexibility and the opportunity to connect with our generation’s brightest minds.
• We provide flexible remote team culture, company retreats and fair compensation.