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Machine Learning Scientist - Knowledge Graphs
Posted on 2/22/2022
INACTIVE
Locations
Chicago, IL, USA • Menlo Park, CA, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Keras
Pytorch
SQL
Tensorflow
Natural Language Processing (NLP)
Python
Scikit-Learn
Requirements
  • MS/PhD in a quantitative or computational field such as Computer Science, Computer Engineering, Machine Learning or related field and 2+ (for PhD) or 5+ (for MS) years of industry/academic experience in prototyping and building Knowledge Graphs
  • Solid understanding of Machine Learning as applied to Knowledge Graphs
  • Solid familiarity with Graph Machine Learning methods particularly Graph Embeddings and Graph Neural Networks
  • Proficient in Graph database development
  • Proficient in Python and SQL
  • Proficiency in machine learning frameworks like scikit-learn and deep learning frameworks like Pytorch, Tensorflow, or Keras
  • Experience with large scale machine learning models and systems
  • Strong programming skills, familiarity with software development cycles, solid understanding of software concepts - data structures and algorithms
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly
  • Experience with communicating insights and presenting concepts to diverse audiences
  • Team player mindset and ability to work in an interdisciplinary team
  • Goal orientation, self motivation, and drive to make a positive impact in healthcare
Responsibilities
  • Design and prototype novel Knowledge Graph-based and Deep Learning Natural Language systems
  • End-to-end large scale machine learning model integration
  • Collaborate with product, science, engineering, and business development teams to build the most advanced data solutions in precision medicine
  • Interrogate analytical results for robustness, validity, and out of sample stability
  • Document, summarize, and present your findings to a group of peers and stakeholders
Desired Qualifications
  • Extensive experience with ontologies
  • Experience with temporal knowledge graphs
  • Good understanding of Natural Language Processing
  • Publications in ICML, ICLR, NeurIPS, SIGIR, KDD or equivalent
  • Biomedical domain expertise
Tempus

1,001-5,000 employees

Data-driven precision medicine
Company Overview
Tempus is on a mission to provide the necessary tools to usher in an era of precision medicine. The company has built the world's largest library of clinical and molecular data and an operating system to make that information accessible and useful for patients, physicians, and researchers.