Senior Computer Vision Engineer - Deep Learning (Open to Remote)
Olive AI
Description
The focus of the Foundational AI team is to develop AI capabilities for Olive. The ideal candidate understands machine learning as well as software development best practices— from collecting and preprocessing data for training, validating, and testing machine learning models to unit and integration testing, deployment, and maintenance. As a Deep Learning Computer Vision Engineer, you will be expected to develop new vision capabilities for Olive as she assists clinicians, researchers, and front-line medical staff in their diagnostic work.
Responsibilities
- Identify machine learning architectures and models to solve complex data problems
- Work with multiple stakeholders to deliver automated workflows in a timely fashion
- Use software development programs and operating systems for development
- Define new techniques and best practices for all areas of our AI research
- Provide feedback to product and development teams to improve our in house tools
- Document process, procedures, and training materials for staff and stakeholders
- Attend daily stand-up and periodic team meetings
Requirements
- Bachelor Degree in Mathematics, Statistics, Computer Science, Physics, or in an Engineering or Sciences discipline or related degree
- At least 3 year experience in ML Engineering, Computer Vision, or AI Research; or a Masters degree in one of the abovementioned fields and at least 1 year of professional experience
- Experience with ML tools: Keras, Jupyter Notebooks, Pandas, scikit-learn, Flask, OpenCV, Tesseract, Numpy, or similar
- Able to communicate technical issues with technical & non-technical stakeholders
Preferred Skills/Experience Nice to Have:
- Experience with medical image segmentation, classification, or masking
- Past involvement or exposure to authoring research papers, findings reports, or conference proceedings
- Graduate degree (Masters or PhD) in related field
- Experience with Agile tools, Jira, Trello, Pivotal Tracker
- Strong mathematics and computer science skills
- Solid understanding of data types, structures, and algorithms
- Version control such as GIT, Subversion, Team Foundation
- Ability to understand large scale software & system architecture
- Knowledge of remote connectivity applications: Citrix Receiver, Horizon VMWare Client, RDP
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