Software Engineer - Machine Learning Platform
Boston, MA or Remote
Who We Are
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.
What You’ll Do:
- Design ML orchestration pipelines and engineering infrastructure to support our enterprise machine learning systems at scale;
- Work with a wide range of systems, processes, and technologies on both the front-end and back-end to solve problems in maintainable ways;
- Design and document changes and additions to the architecture of our application platform;
- Collaborate with product, design, machine learning, and systems infrastructure teams;
- Drive and uphold high engineering standards and promote code quality by ensuring software is adequately reviewed, tested, and integrated;
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
- Support model development, with an emphasis on audibility, versioning, and reproducibility
- Facilitate the development and deployment of proof-of-concept machine learning systems
What You'll Need
Minimum Requirements:
- Bachelor’s degree in Computer Science or related field, or foreign degree equivalent
- 1-4 years of software engineering experience with Python or any object-oriented programming language. A background in Machine Learning is not required!
- Experience developing and maintaining ML systems built with open source tools
- Strong software engineering skills in complex, multi-language systems.
Beneficial Experience:
- Experience developing with containers and Kubernetes in cloud computing environments
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
- Experience working with cloud computing and database systems
- Familiarity with data workflow orchestration frameworks (e.g., KubeFlow, Airflow).
We Want to Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Computer Science DevOps Engineering Kubeflow Kubernetes Machine Learning ML models OOP Open Source Pipelines Python
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