Director of Technology

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