Microsoft
AI

Research Intern - Natural Language Processing / Computer Vision for Healthcare

Microsoft · Anywhere · $45k - $60k

Actively hiring Posted 8 months ago

About the position

Responsibilities

  • Put inquiry and theory into practice.
  • Collaborate with fellow doctoral candidates and researchers.
  • Present findings and contribute to the research community.
  • Work on researching and innovating new technologies for Healthcare Data Deidentification.

Requirements

  • Currently enrolled in a PhD program in Computer Science or a related STEM field.
  • At least 1 year of experience in natural language processing, computer vision, machine learning, or a related field.

Nice-to-haves

  • Experience with computer vision on healthcare data.
  • Experience with natural language processing on healthcare data and/or multilingual text.
  • Experience with data deidentification or deidentified data sets.
  • Passionate about real-world applications and impact in healthcare.
  • Proficient verbal and writing communication skills.
  • Track record of publications in top natural language processing, computer vision, or machine learning venues.
  • Experience working with healthcare data.

Benefits

  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

Tags & focus areas

Used for matching and alerts on DevFound
Research Intern Entry Level Remote Fulltime
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.