Staff Software Engineer, ML Ops

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

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 and improve the data and automation infrastructure that enables PathAI to do digital pathology at scale.
• 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 to conduct ML experiments, meet contract deadlines, manage infrastructure costs and build products for in-house or external customers
• Troubleshoot issues in the entire machine learning infrastructure, from Linux Docker and Kubernetes up to the highest levels of our ML stack. Resolve customer issues, improve systems performance, and in general make our stack the best available in the industry.
• 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. 5+ years of software engineering experience using Python or any object-oriented programming language to build scalable, fault tolerant systems.
• Experience with the tools & practices of the trade, such as Kubernetes, AWS/Azure, CI/CD, common ML frameworks, and data management.
• 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.
• Insatiable curiosity. You are excited by the idea of encountering and mastering the complex and unfamiliar as you build and operate systems on the leading edge of healthcare.

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