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Senior Machine Learning Engineer
Confirmed live in the last 24 hours
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Structures & Algorithms
Natural Language Processing (NLP)
Requirements
  • 5+ years of experience in Applied Research in at least one of the following:
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Bachelor's degree in computer science or related STEM field
  • Professional experience developing production level algorithms, with a proven track record of successfully shipping applied research in production
  • Excellent problem solving and data analysis skills
  • Expertise in developing or applying predictive analytics, statistical modeling, data mining, or machine learning algorithms, especially at scale
Desired Qualifications
  • PhD degree in computer science or related STEM field
  • Experience building Natural Language Processing components in shipping products
  • Experience in adopting pre-trained models to new scenarios with additional structured/unstructured inputs
  • Experience in applying AI fairness, transparency, ethics and responsible AI processes and standards
  • Good written and verbal communication, including presentation skills
Truveta

51-200 employees

Medical patient data provider
Company Overview
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Truveta's mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care.
Benefits
  • Competitive Compensation
  • Comprehensive Benefits
  • 401(k)
  • Professional Development
  • Work/Life Autonomy
  • Flexible Time Off
  • Generous Parental Leave
  • Team Activities
Company Core Values
  • Focus on our purpose - We believe truth plus knowledge can make a big difference in the world.
  • Earn trust - We challenge ourselves to meet the high expectations of patients, providers, regulators, and scientists on privacy, securit, ethics, and data quality.
  • Contribute for impact: You have the opportunity to influence and make a big impact. We believe our diversity gives us each a unique perspective and we strive to build teams who represent the patients our data serves.
  • Freedom with responsibility - We trust you to innovate towards our shared goals, use great judgment, and make responsibly frugal decisions. We have high standards and reject mediocrity. We embrace work from anywhere. We believe you can accomplish great things from your home or our office home.
  • Be curious - Progress is born out of questions asked. We are always learning, humble before the complexity of our vision.