Artificial Intelligence / Machine Learning Engineer (Remote)

*This is an unpaid, time flexible, remote role internship position*

Description

Life Singularity offers a breakthrough predictive health platform delivering personalized, geospatial monitoring with a strong focus on “prospective” virtual care for prevention of health events. The Life Singularity virtual health assistant combines empathy with innovative avatar-based technology, advanced sensing of emotions, behaviors and lifestyles, and Artificial Intelligence (AI) that generates actionable, real-time data and intelligent analytics, enabling clinicians to make better, timelier and “predictive” care decisions, catching the disease ahead of time.

Life Singularity is looking for an AI/machine learning engineer to work with our team to innovate, develop, test, and deploy our platform. The candidate will focus mainly on engineering the AI/machine learning-related features of our platform as well as the predictive nature of it.

At Life Singularity, we would like to hire amazing people who wish to do their life’s work.

As a potential applicant, you may be confused as to why applying for an unpaid internship can be beneficial. While Life Singularity may be a small start-up, we hope to make your internship as valuable as possible. We want to utilize your skills to build advanced systems and help grow not only our company, but your portfolio. For many interns at Life Singularity, this sole experience has benefited them in the job market as we are an extremely well-connected company that is continuing to redefine the AI/Medical sector.

*We are very flexible at Life Singularity – We can work together to figure out which days/hours/schedule works best for you*

Responsibilities

● Deep algorithmic builds to enhance custom Machine Learning pipelines to provide solutions to business needs

● Design, construct, install, test and maintain highly scalable data management and machine-learning systems

● Bring structure to large, disparate sources of data ranging from highly structured market data through to fully unstructured text

● Build and maintain high-performance algorithms, prototypes, and predictive models

● Design and structure an environment flexible enough for creative research while providing the stability, security, and controls necessary to be suitable for analysis of sensitive data

Basic Qualifications

● Bachelor’s degree (or in progress) in Computer Science or related field with coursework relevant to machine learning

● Experience integrating machine learning algorithms into cloud platforms, including resource provisioning, installation, scaling, and validation, as well as building, training, and monitoring the machine learning production models

● 2+ years of experience in developing software in Java, C++/C, and/or Python

● Experience with all or some of the following machine learning, deep learning, computer vision, image processing, and data and image analysis tools ((AWS) Comprehend, Forecast, Lex, Polly, Rekognition, Textract, Sagemaker)

● Experience with data transformations, API wrappers and output formats used with machine learning algorithms

● Hands-on, in-depth experience with AWS or other cloud infrastructure technologies

● Start-up experience and entrepreneurial spirit highly preferred

● Computer Science fundamentals in object-oriented design

● Computer Science fundamentals in data structures

● Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

Preferred Qualifications

● Experience building and scaling complex software systems that have been successfully delivered to customers

● Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

● Ability to take a project from scoping requirements through actual launch of the project

● Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.

● Machine Learning or AI application development

The interns will be required to work 20 hours per week on a flexible schedule during Fall and Spring Semesters and 40 hours per week during summer. Individual exceptions for less than 20 hours (for example, for PhD interns) can be discussed on a case-by-case basis. The interns will be reporting to a senior resource with multiple years of experience in their requisite domains of AI, Data Science, Social Determinants, Regulatory standards, Epidemiology, Data Standardization, Visualization, NLP, Human-Centered Design, AR/VR and Quantum technologies.