Machine Learning Engineer

Overview

• This is a remote position; however, you must live in the Milwaukee area to be considered.

Join Our Mission to Make Skin Cancer Screening Accessible

At SkinIO, we believe early detection is key to beating skin cancer. Our innovative product aims to make whole-body screening easy and accessible to all by using advanced computer vision and deep learning models. Our on-device models guide patients through the skin screening process straight from their mobile phones, while cloud-based algorithms analyze and track skin changes over time. As part of our tight-knit team, you’ll help tackle the high costs and mortality of skin cancer head-on.

What You’ll Do

-Develop, train, and deploy advanced computer vision models.

-Optimize and fine-tune algorithms for real-time performance and scalability.

-Collaborate with cross-functional teams to integrate vision models into products.

-Conduct research and stay updated on the latest advancements in computer vision.

-Analyze and improve the accuracy and efficiency of existing vision systems.

-Troubleshoot and resolve issues related to machine learning models and AI tools in production environments.

What We’re Looking For

-Strong experience with machine learning frameworks (TensorFlow, PyTorch).

-Proficiency in computer vision techniques and libraries (OpenCV, Dlib).

-Solid programming skills in Python.

-Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

-Strong communication skills and a collaborative mindset.

-Ability to translate business requirements into technical implementations.

-Self-starter able to drive projects from concept to launch.

This role is for a remote position where you’ll get a chance to shape our product and truly make a difference.

Company:

SkinIO

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States