(Senior) Machine Learning Engineer

floy.com; United States; Remote; USD 80,000 - 150,000; Full time

Job summary

Join a pioneering company in medical AI, dedicated to enhancing diagnostic efforts for overlooked diseases. As an ML Engineer, you will work in a fast-paced scientific environment, developing state-of-the-art algorithms and models that directly benefit patient care. This role offers the opportunity to contribute to groundbreaking research while enjoying a flexible remote culture and a supportive team atmosphere. If you are passionate about pushing the boundaries of technology and healthcare, this is the perfect opportunity to make a significant impact.

Benefits

Flexible Remote Culture

Weekly 1:1s

Learning Opportunities

Retreats

Fair Pay

Qualifications

• Master's degree in Computer Science or related field required.
• Experience in medical image processing and computer vision preferred.

Responsibilities

• Develop innovative ML products for radiological image diagnostics.
• Stay updated with the latest literature on medical image processing.

Skills

Machine Learning

Deep Learning

Medical Image Processing

Computer Vision

Python

Data Science

Attention to Detail

Scientific Accuracy

Teamwork

Communication Skills

Education

Master's Degree in Computer Science

Experience in Medical Image Processing

Tools

Scientific ML Tools

Job description

We are seeking a highly skilled and experienced ML Engineer to join our team.

Floy supports radiologists by enhancing their diagnostic efforts with innovative AI products focused on overlooked diseases. You will be part of a fast-paced scientific team developing algorithms to address unexplored radiological diagnostic challenges. This role requires expertise in the latest ML/DL techniques in medical image processing and computer vision, the ability to think creatively, understanding of pathology biology, imaging physics (CT, MRI, etc.), and the capacity to independently plan and execute R&D tasks with passion.

The goal is to push beyond current research boundaries to develop state-of-the-art models that benefit real-world patients. You will contribute to model development from inception to clinical deployment. Patents and publications are encouraged where applicable.

Your responsibilities

• Develop innovative ML products for radiological image diagnostics
• Generate intellectual property by advancing Floy’s capabilities beyond existing SOTA and competitors
• Stay updated with the latest literature on medical image processing and computer vision
• Understand biological and physical aspects of organs, pathologies, and imaging modalities

What are we looking for?

• Master's degree in Computer Science or related experience
• Experience or coursework in medical image processing or computer vision with DL
• Strong understanding of machine learning and data science
• Attention to detail and scientific accuracy
• Excellent English communication skills
• Teamwork and collaboration skills
• Proficiency in Python and scientific ML tools

Good-to-have:

• Publications in conferences like MICCAI, ISBI, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML
• Experience with MLOps and reproducible experiments

We seek brilliant, dedicated individuals aspiring to be thought leaders. If you enjoy learning and thrive in a dynamic environment, we look forward to meeting you. We will tailor the role to your strengths and growth goals.

Why us

Pioneer medical AI to maximize human health. Join an ambitious team that values individuals, dedication, and a joyful work environment. Solve life-saving challenges.

• Accelerate your learning with rapid feedback, weekly 1:1s, and inspiring problems.
• Enjoy autonomy, flexibility, and connect with top minds.
• Benefit from a flexible remote culture, retreats, and fair pay.

Floy aims to build infrastructure for personalized health. Our AI helps radiologists detect overlooked diseases, with a vision of accessible annual health assessments for early disease prevention.

Founded in June 2021, Floy has raised 8.8m€ from leading European investors. Our team has grown to 45 talented individuals, and our momentum continues to accelerate.