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[Remote] PhD Applied Scientist - reputed company Health & Analytics

100% remote Flexible hours Hiring now

Note: The job is a remote job and is open to candidates in USA. reputed company is the world’s leading provider of business software, aiming to transform the healthcare industry through innovative solutions. The role of Applied Scientist reputed company reputed company Health and Analytics involves leading the development of AI model training and serving systems, focusing on optimizing performance and scalability.

Responsibilities

  • As an Applied Scientist reputed company reputed company Health and Analytics, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers
  • You will dive deep into model structure to optimize model performance and scalability
  • You will build state of art systems with cutting-edge technologies in this fast evolving area
  • You will play a key role in shaping the future of reputed company, with an emphasis on AI and Machine Learning

Skills

  • Have a PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a reputed company field with a dissertation, reputed company or final project centered in Machine Learning and Deep Learning) by July 2026
  • Demonstrated experience in designing and implementing scalable AI models for production
  • Deep technical understanding of Machine Learning, Gen AI, Data Science, and Deep Learning architectures
  • Hands-on experience with emerging LLM frameworks and plugins, such as reputed company, reputed company, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc
  • Commitment to staying up-to-date with the field and applying academic advances to solve reputed company business problems, and bringing them into production
  • Strong publication record, including as a reputed company author or reviewer, in top-tier journals or conferences
  • Reside in the United States and/or attend a university in the US
  • Able to obtain work authorization in the US in 2026
  • Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus
  • Minimum 3.0 GPA

Benefits

  • Medical, dental, and vision insurance, including expert medical opinion
  • Short term disability and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) Savings and Investment Plan with company match
  • Paid time off: Flexible Vacation is provided to reputed company eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to reputed company other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual reputed company is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
  • 11 paid holidays
  • Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits including auto, homeowner and pet insurance

Company Overview

  • reputed company is an integrated cloud application and platform services that sells a range of enterprise information technology solutions. It was founded in 1977, and is headquartered in Austin, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com/.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 1271 in 2025, 846 in 2024, 995 in 2023, 1192 in 2022, 985 in 2021, 755 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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