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Machine Learning Scientist (AI)

205 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Scientist (AI): Conducting research and developing machine learning solutions for healthcare applications with an accent on natural language processing and real-time feedback from clinicians. Focus on advancing medical NLP techniques and contributing to the research community.

Location: Hybrid, with at least three days per week in the San Francisco office. Relocation assistance is available for candidates willing to move to San Francisco.

Salary: $205,000–$300,000 base salary, plus potential equity.

Company

hirify.global develops an AI-powered healthcare platform that converts medical conversations into structured clinical notes and integrates them with electronic medical records.

What you will do

  • Advance medical NLP research in conversation summarization, evidence extraction, outcome prediction, evaluation, and experimentation.
  • Define important research problems, establish baselines, and develop state-of-the-art methods.
  • Deliver machine learning solutions into production and contribute directly to healthcare products.
  • Publish original research and contribute to the wider research community.
  • Use clinician feedback to guide product refinements and research directions.
  • Address ambiguous problems and uncertain outcomes with a results-oriented approach.

Requirements

  • Strong research background demonstrated through publications and an MS or PhD in Electrical Engineering, Computer Science, Mathematics, or equivalent experience.
  • High-impact peer-reviewed publications in AI and machine learning conferences.
  • Significant real-world impact through open-source contributions or deployed technology.
  • Strong programming skills and experience delivering machine learning solutions into production.
  • Experience with PyTorch, Jax, or TensorFlow, multi-GPU training, and statistical analysis of observational and experimental data.
  • Ability to work from the San Francisco office at least three times per week.

Culture & Benefits

  • Fast-paced, high-growth startup environment with an emphasis on ownership and measurable impact.
  • Flexible work hours, inclusive culture, ongoing learning opportunities, and a supportive environment.
  • Medical, dental, and vision coverage for full-time employees and their families.
  • Paid holidays, flexible paid time off, parental leave, and sabbatical leave after five years.
  • 401(k) matching, HSA contributions, lifestyle wallet, personal device allowance, and mental health support.
  • Equity grants and family-forming benefits.

Hiring process

  • Reasonable accommodations are available throughout the interview process.

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