Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Building state-of-the-art ML models for healthcare with an accent on novel AI/ML architecture design and practical implementation. Focus on navigating ambiguity in early-stage product development, driving advancements in machine learning, and transforming healthcare outcomes through scalable technology.

Location: Must be based in Seattle, WA, USA

Salary: $167,100–$226,100 USD annually

Company

A global technology leader focused on innovation, operational excellence, and solving complex, large-scale challenges across diverse industries.

What you will do

• Design and implement novel AI/ML solutions for complex healthcare challenges.
• Drive advancements in machine learning and data science research.
• Balance theoretical knowledge with practical, scalable implementation.
• Collaborate with cross-functional teams of scientists, engineers, and product managers.
• Establish best practices for ML experimentation, evaluation, and deployment.
• Partner with leadership to define strategic roadmaps and initiatives.

Requirements

• 5+ years of experience building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Proficiency in programming with Java, C++, or Python.
• Strong background in neural deep learning methods and machine learning.
• Ability to translate complex research findings into actionable, practical solutions.

Nice to have

• Experience with deep learning models specifically for healthcare.
• Expertise in NLP architectures, including pretraining, fine-tuning, and post-training.
• Experience with large-scale distributed systems like Spark or Hadoop.
• Familiarity with modeling tools such as Tensorflow, MxNet, or scikit-learn.

Culture & Benefits

• Comprehensive health insurance including medical, dental, and vision.
• 401(k) matching and retirement planning.
• Competitive compensation package including sign-on bonuses and RSUs.
• Generous paid time off and parental leave policies.
• Inclusive, collaborative, and entrepreneurial work environment.