Job Opportunities

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

Full-Stack Developer

General Requirements:

A bachelor’s degree in Computer Science or equivalent experiences
Minimum of 3 years of commercial production experience as a Full-Stack Engineer
Strong proficiency in front-end development, with expertise in UX/UI design and implementation
Participate in the full software development lifecycle, including requirements gathering, design, development, testing, and deployment
Experience working with databases and working knowledge with SQL
Comfortable working with open-ended and often ambiguous problems
Strong problem-solving and analytical skills
Strong written/verbal communication skills
Solid references

Preferred Qualifications:

Previous start-up experience and execution mentality
Experience with cross-platform development is highly desirable
AWS-certified, or high familiarity across AWS services such as AWS: S3, EC2, EFS, SageMaker and infrastructure management
Experience in commercial application deployment frameworks such as Apple’s CoreML module, TensorFlow Lite, TensorFlow Mobile, etc.
Experience in reviewing and writing technical documents

Example Responsibilities:

Develop and maintain robust and scalable web applications, ensuring high performance and responsiveness
Collaborate with cross-functional teams to design and implement front-end user experiences with a focus on UX/UI development, utilizing technologies such as React
Write clean and efficient code, ensuring adherence to best practices and coding standards
Implement DevOps practices, including CI/CD pipelines, infrastructure as code, and automated deployments
Participate in the full software development lifecycle, including requirements gathering, design, development, testing, and deployment. Contribute to code reviews, providing constructive feedback to peers
Support CEO/CTO with R&D, novel discoveries, training data for BioEngine4D
And much more across the domains of computer vision, optics, and physiology

iOS Engineer (or iOS Intern)

3+ years of hands-on experience in native iOS app development, leveraging XCode, Swift, CoreML, and UIKit to build sophisticated applications.
Demonstrated expertise in utilizing ARKit for augmented reality features and CoreML for implementing machine learning models within apps.
Strong proficiency in working with AVFoundation and Vision frameworks for advanced video processing tasks, as well as CareKit for health data management.
Experienced in employing Grand Central Dispatch (GCD) for efficient asynchronous programming and optimizing app performance.
Skilled in MVC architectural pattern for iOS app development, with a proven track record of designing custom UI components and creating smooth animations.
Familiarity with GPU processing and Metal for enhancing app computational performance, especially in data-intensive applications.
Solid understanding and practical experience with Python and OpenCV for image processing, as well as time-series analysis and mobile deep learning techniques, to support complex health data analysis.
Adept at staying updated with the latest advancements in Apple's iOS frameworks, actively exploring and integrating new features to improve app functionalities.
Experience in startup environments is highly valued, showcasing the ability to thrive in fast-paced, innovative, and agile development teams.
Passionate about leveraging technology to address healthcare challenges, with a focus on developing mobile solutions that provide actionable health insights.

Intern Specialists: Machine Learning or Software Development

Focus on either the Machine Learning or Software Development side of Engineering
Experience virtually all aspects of start-up growth and contribute to and learn from experienced executives
Support the leadership team with versatile duties and receive exposure to both the business and technical aspects of the company
Work with internal and external developers on AI, Dev, UI, UX to build an AI-platform and iOS application
Support team with R&D research across technology, physiology, and/or business
Working towards a bachelor’s degree in Mathematics, Applied Mathematics, Computer Science or a related field
Excellent written/verbal communication and relationship-building skills
Strong skills in MS Excel, MS Word and MS PowerPoint
Excellent analytical skills
Solid references

Intern (Machine Learning) Technical Requirements:

Working knowledge in one of the following numerical libraries: Pytorch, TensorFlow
Experience in machine learning techniques: regressions, image segmentations, CNNs, RNNs, SVMs, decision trees, and etc.
Experience in Python’s numerical libraries: Pandas, NumPy, Matplotlib, Seaborn, Open-CV, SciPy, Scikit-Learn, and, etc.
Experience in version control development and using GitHub

Intern (Software Development) Technical Requirements:

Working knowledge in at least one of the following languages: Python, JavaScript, Java, C/C++, Swift, and etc.
Experience in version control development and using GitHub
(Preferred) Proficiency in Python and experience in numerical and data visualization libraries such as Pandas, NumPy, Matplotlib, Seaborn, and etc.
(Preferred) Working knowledge in one of the following front-end or back-end development frameworks: HTML/CSS, React, Flask, Django, and etc.
(Preferred) Working knowledge in relational database (SQL) and experience in AWS S3, EC2, EFS, SageMaker, and etc.

Intern Generalists: Engineering or Business

Focus on either Engineering or Business side of the company
Experience virtually all aspects of start-up growth and contribute to and learn from experienced executives
Support the leadership team with versatile duties and receive exposure to both the business and technical aspects of the company
Excellent written/verbal communication and relationship-building skills
Strong skills in MS Excel
Proficient with MS Word and MS PowerPoint
Excellent analytical skills
Solid references

Intern (Engineering) Responsibilities:

Work with internal and external developers on AI, Dev, UI, UX to build an AI-platform and iOS application
Support team with R&D research across technology, physiology, and/or business

Intern (Business) Responsibilities:

Analyze strategic fit of potential investors and business development partners
Work with governmental, academic, and foundation organizations offering R&D funding
Support team with R&D research across technology, physiology, and/or business

*BioTrillion has a successful internship program with a track record of developing over 15 interns since our inception. Our program is designed to expand intern's knowledge, allow them to make meaningful contributions to the company, and accelerate their professional growth. Our intern alumni are eligible for recommendation letters and have gone on to found their own startups, receive full-time jobs at prestigious corporations, be accepted into highly-ranked university graduate programs, and also request to continue with another internship or full-time opportunity at BioTrillion.

Apply Below: If this looks like it was written for you, please apply at the bottom of this page. Kindly note that due to the high number of applications we receive, we are only able to reply to candidates selected for an interview.

Interview Process (Technical Candidates): Our interview process is designed to assess your technical skills and fit within our team. It includes a technical round with live coding sessions, where you will have the opportunity to showcase your coding abilities and problem-solving skills. We encourage you to come prepared to discuss your past projects and demonstrate your knowledge of industry best practices.

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