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Elevating doctors to evaluate skin conditions like experts with AI.

Senior Software Engineer - Data Pipeline & Infrastructure

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We’re building an AI and computer vision platform to elevate every front-line doctor to visually assess skin conditions as well as a dermatologist.

Company Overview

LuminDx is an app developed with leading dermatologists to help primary care physicians understand their patient’s skin concerns and then provide them with the options for care. Our cutting-edge tool uses artificial intelligence and works with just a photo and answers to a few basic questions to provide results instantly. LuminDx was founded in 2017 and is based in Boston.

Job Description

LuminDx is combining three unique areas of expertise: artificial intelligence, medical care, and digital marketing. We are looking for a backend data engineer to join our collaborative team. This job requires working closely with the CTO to enable the continuous improvement of the software and AI capability. A strong candidate will desire to work on a product with significant impact, be able to learn new areas quickly, and be an excellent communicator. This role involves collaborating closely with company product leaders, partners, and non-engineering parts of the business. Every member of our organization plays a critical role in shaping the future of our services, team, and culture.

Our tech stack includes React.js, Python, Tensorflow, and GCP/AWS

In a typical week, you may
• Scaling our infrastructure and storage system
• Building data pipelines that process datasets such as high resolution images from doctors, and EMRs from hospitals and other medical institutions
• Build overall infrastructure to support the next generation of healthcare data
• All hands on deck - it’s a startup, so you’ll often need to do whatever needs to get done to move things forward for the company.
Qualifications and Characteristics
• Proficiency in Python and Javascript
• Persistence and grit
• Interest in high performance algorithms, machine learning, and scalable architectures
• Experience building robust data and machine learning pipelines on AWS or GCP
• Comfort with working anywhere in the software stack: frontend, server-side, and infrastructure.
• Experience building services and applications at high throughput
• Good written, spoken, and visual communication skills
• A desire to learn new things and change as needed
• A BS/MS degree in Computer Science, or equivalent

• Experience with computer vision algorithms and deploying deep learning models
• Experience with Docker and Kubernetes
• Technical leadership capability, including the ability to lead small groups of engineers with setting technical direction
• Eye for design and building beautiful user interfaces

H1B sponsorship currently unavailable.

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