Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.
The focus of the Foundational AI team is to develop models and logic to enhance Olive's core platform, package the codebase for testing, and deploy to or integrate with production environments. The ideal candidate understands machine learning, software development, and both people and project management. As a Foundational AI Team Lead, you will act as a player/coach: helping grow and develop Machine Learning Engineers in addition to executing on machine learning and data science projects. By planning the team’s work, ensuring the quality and the constant improvement of the team’s capabilities, and frequently pushing the boundaries of our capabilities, you will know that you are a successful Team Captain.
Responsibilities
- Collaborate with team members to deliver deep learning solutions in the areas of computer vision, NLP/NLU, and knowledge systems
- Identify machine learning architectures and models to solve complex data problems
- Work with multiple stakeholders to deliver results in a timely fashion
- Use software development programs and operating systems for development
- Define new techniques and best practices for the team and domain
- Provide feedback to product and development teams to improve our in house tools
- Document process, procedures, and training materials for staff and stakeholders
- Foster and grow the engineers, team processes, and organizational impact
Requirements
- Bachelor Degree in Mathematics, Statistics, Computer Science, Physics, or in an Engineering or Sciences discipline or related degree
- At least 4 years experience in analytics, data science, ML Engineering, or software engineering- or, a Masters degree in one of the above mentioned fields and 2 years of relevant/scientific experience
- At least 1 year of experience leading, mentoring, and developing either Machine Learning, Data Science, or Analytics practitioners
- Experience with Agile tools, Jira, Trello, Pivotal Tracker, or related
- Experience with ML tools: Keras, Jupyter Notebooks, Pandas, scikit-learn, Flask, OpenCV, Tesseract, Numpy, or similar
- Able to communicate technical issues with technical amp; non-technical stakeholders
Preferred Skills/Experience Nice to Have:
- Graduate degree in a mathematical, scientific, or engineering discipline
- Experience in analyzing healthcare or biomedical data
- Past involvement or exposure to authoring research papers, findings reports, or conference proceedings
- Strong mathematics and data analysis skills
- Solid understanding of data types, structures, and algorithms
- Understanding of Continuous integration, testing, deployment amp; release methodologies
- Version control such as GIT, Subversion, Team Foundation
- Ability to understand large scale software amp; system architecture