Foundational AI Machine Learning Intern (Remote)

Remote - Columbus, Ohio, United States

Applications have closed

Olive

Olive is purpose-built for healthcare, improving operational efficiency for provider and payer teams with intelligent automation.

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Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.

Olive Enables is the company’s central platform, responsible for building products + tools that support Olive’s solutions and empower them to be 10x more effective. We are looking for an experienced Product leader who is passionate about building products that customers love and will fundamentally change healthcare and has the ability to lead a highly functioning team of Product Managers through our company vision. You will have direct responsibility for the oversight and thought leadership of multiple product teams within the Olive organization. You will collaborate across the organization with Senior Leadership and critical business stakeholders, as well as be responsible for the evolution and optimization of Olive’s product suite.

Job Overview:

We are seeking candidates that are curious, collaborative, and interested in learning more about how AI can help healthcare.

  • Internship Dates: May 23, 2022 - July 29, 2022

Essential Duties and Responsibilities:

  • Work together with engineering and product development teams
  • Develop and suggest solutions and strategies to business challenges
  • Organize and present information using data visualization techniques
  • Perform preprocessing of structured and unstructured data
  • Build ML models closely with teammates
  • Write up model evaluation and performance

Requirements

  • Math background preferred, CS, Engineering
  • Intermediate Python Skills
  • Basic SQL Skills
  • Familiarity with Cloud-based development
  • Basic understanding of machine learning & data processes
  • Passionate about the AI/ML landscape and industry trends
  • Must have an ML/DS/AI project/capstone/thesis they can use to speak the technical and user-level considerations that went into its development

At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.

Disclaimer:

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.

This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time

Tags: Data visualization Engineering Machine Learning Mathematics ML models Python Research SQL Unstructured data

Perks/benefits: Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  93  27  1

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