Software Engineer, Machine Learning Platform

Key Skills

Python Programming, SQL, Cloud computing

Job Description

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.

We’re looking for software engineers to join our team to grow our platform to the next level. While prior experience with machine language is desirable, it is not required. We expect that the right candidate will learn the necessary machine learning skills through their daily work.

What you’ll do:

• Solve interesting problems with code. 
• Build new features and tools for machine learning engineers and data scientists, and refactor existing ones to make them better.
• Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
• Drive the architecture of our application platform, considering the team and our future product roadmap.
• Collaborate with product, design, front-end, machine learning, and infrastructure teams.
• Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
• Mentor, learn, and share knowledge with others along the way.

What you’ll need:

• Experience. 1-4 years of software development experience. A background in Machine Learning is not required!
• Aesthetic. Your main tool may be code, but you should have a keen design eye and an ability to make strong design decisions in a pinch.
• Education. Generally, a bachelor's degree is really helpful in working with our team on this kind of work. But feel free to convince us if you're the exception.
• An insatiable intellectual curiosity and the ability to learn quickly in a complex space

Benefits

For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:

• Flexible work hours, with work-from-home options available 
• Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
• Ten days of 100% subsidized childcare per year
• Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
• Commuter benefit available for public transit or parking