You'll be able to reimagine aspects of healthcare as a science and business, work across computer, data, and life sciences, and innovate into a new frontier to enhance human life. Your work will have impact, at scale.

Director of Technology

General Requirements:

• Degree in Computer Vision, Machine Learning, Data Science, Computer Science, or a related field
• 7+ years of industry experience in Deep Learning, Computer Vision, or Machine Learning engineering, including successful building and shipping of commercial-grade products
• Startup experience and execution mentality is highly preferred
• Strong Python, Linux, and shell programming skills for backend, DevOps, and databases
• Expertise in Machine Learning and AI, including supervised learning, semi-supervised learning, unsupervised learning, and reinforcement learning, and with frameworks such as PyTorch and Scikit-Learn
• Expertise in Computer Vision, including algorithms, features, filters, non-linear optimization, 3D geometry, computational photography, and with frameworks/toolkits such as OpenCV
• Strong mathematical background including PDE, Linear Algebra, Fourier transform, multivariate, high dimensional modeling, and statistics/probability theory for object detection methodologies
• Experience leading and coaching a team of computer vision, deep learning, and/or machine learning engineers
• Strong written/verbal communication skills
• Solid references

Technical Requirements:

• Expertise in one of the following numerical libraries: (Preferred) Pytorch, TensorFlow
• Strong experience in common machine learning techniques: linear and multilinear regressions, image segmentations, object detections, CNNs, RNNs, SVMs, decision trees, and etc.
• Strong experience in Python’s numerical libraries: Pandas, NumPy, Matplotlib, Seaborn, Open-CV, SciPy, Scikit-Learn, and, etc.
• Strong experience in Linux, and shell programming for backend, MLOps (AWS, Weights and Bias, etc.), DevOps (Docker, CI/CD, training & testing pipeline automation), and databases including solid experience with data analytics, predictive and prescriptive data
• Strong experience in version control and test-driven development: reviewing team members’ git commits, pushes, and branch merges, resolving conflicts, and approving pull requests, maintaining version releases and performing unit testing

Preferred Qualifications:

• Previous start-up experience and execution mentality
• A master’s degree in computer science or a related field
• 7+ years of computer vision and machine learning experience
• Expertise in Computer Vision techniques: feature/color spaces, and a wide range of algorithms, features (SIFT, SURF), filters, non-linear optimization, custom layer and loss function design, and etc.
• Experience in training process optimization and distributive training
• Experience working on AWS: S3, EC2, EFS, SageMaker, and etc.
• Experience in commercial application deployment such as Apple’s CoreML module, TensorFlow Lite, TensorFlow Mobile, etc.
• Experience in reviewing and writing technical documents
• Previous technical publications and open-source contribution

Example Responsibilities:

• Design and implement algorithms for feature extraction, signal processing, classification from optically generated image and video data
• Develop advanced computer vision & AI techniques for use in feature engineering and extraction of key phenotypic features from image and video data generated by consumer smart device optical-modality hardware
• Acquire ground truth metrics to cross-validate, analyze, and evaluate models
• Build and lead a team of computer vision engineers, while motivating and monitoring them to ensure deadlines and milestones are met successfully
• Support CEO/CTO with R&D, novel discoveries, training data for BioEngine4D
• Work with our UI/UX developer team building a consumer iOS application
• And much more across the domains of computer vision, optics, and physiology