Machine Learning Engineer

Inito is revolutionizing at-home diagnostics with the world's first comprehensive device that enables multiple diagnostic tests including fertility, diabetes, vitamins, and thyroid through a smartphone-connected platform.

As a Machine Learning Engineer, you'll be joining a team focused on developing cutting-edge computer vision and NLP solutions. You'll work with state-of-the-art deep learning frameworks to create robust and scalable models that power our diagnostic products.

The role combines hands-on development of machine learning applications with the opportunity to shape the future of at-home health diagnostics. You'll be working with large datasets and implementing sophisticated algorithms for object detection, segmentation, and classification.

Key aspects of the role include:

• Developing computer vision and NLP solutions using PyTorch, TensorFlow, and OpenCV
• Implementing and optimizing algorithms for medical image processing and analysis
• Collaborating with cross-functional teams to understand requirements and deliver solutions
• Working with large-scale datasets to train and validate models
• Staying current with the latest developments in ML/AI and applying new techniques

The ideal candidate will have:

• Strong programming skills in Python and experience with deep learning frameworks
• Background in computer vision and NLP techniques
• Experience with image processing and machine learning algorithms
• Ability to work with large datasets and implement efficient solutions
• Strong communication skills and ability to work in a collaborative environment

This is an exciting opportunity to join a growing company that's building the future of healthcare diagnostics. You'll be part of a team that's already making an impact, with the company on track to build the world's largest dataset of fertility hormones.