Intern - Generative AI Research Engineer @ Cotiviti | Jobright.ai
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Cotiviti · 4 hours ago

Intern - Generative AI Research Engineer

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Responsibilities

Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
Assists in developing and improving LLMs and ML tools used across the organization.
Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects
Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
Supports vendor evaluations and contributes to collaborations with vendors.
Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
Complete all responsibilities and goals outlined in the internship program.
Complete all special projects and other duties as assigned.
Must be able to perform duties with or without reasonable accommodation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Generative AIMachine LearningCloud services (AWS/Azure)AI Governance ProgramDeep LearningLLM/RAG modelsVector databasesData pipelinesResearch experienceHealthcare technologyLLM fine-tuning

Required

Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
Demonstrated interest or experience in AI, healthcare technology, or informatics research.
Strong foundational knowledge in generative AI model development, architectures, and vector databases.
Hands-on experience with working with Machine Learning and Deep Learning models.
Ability to work collaboratively and communicate effectively with cross-functional teams.

Preferred

Experience with LLM/RAG models and LLM fine-tuning is a plus.
Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions.
Experience with vector embeddings and databases is a plus.

Company

Cotiviti

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Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States.

H1B Sponsorship

Cotiviti has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (77)
2022 (91)
2021 (84)
2020 (68)

Funding

Current Stage
Late Stage

Leadership Team

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Adam Gilbert
Director, Interoperability Operations and Partnerships
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Chris McIntyre
Sr. Program Manager, RQNC Operations
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Company data provided by crunchbase
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