Senior Applied Scientist

Senior Applied Scientist Job Description Template

Our company is looking for a Senior Applied Scientist to join our team.

Responsibilities:

  • Keeping abreast of research trends in the field of Deep Learning and AI;
  • Exploring applications of Deep Learning across multiple domains and identifying models that can bring value to our customers in those domains;
  • Think through a problem from inception to shipment;
  • Work independently and collaboratively with other research and product teams;
  • Training models that can then be deployed at scale.

Requirements:

  • Experience with deep learning in PyTorch or Tensorflow/Keras;
  • Demonstrated experience with managing data, training, and debugging complex machine learning systems;
  • Strong experimentation and coding skills with the ability to learn new languages and tools;
  • Publications in ML/NLP conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML) is a plus;
  • Excellent written and verbal communication skills;
  • 3+ years of experience with Natural Language Processing and/or Machine Learning;
  • Experience in text summarization area;
  • Strong coding skills in one or more of: Python, C/C++, C#, Java, Scala;
  • Experience with production ML/NLP pipelines, quantifiable product impact;
  • Experience with natural language generation and text summarization;
  • Experience with Clinical or Biomedical NLP is a plus;
  • Experience with recent NLP & deep learning advancements, e.g., BERT, transformers, attention, LSTMs, sequence to sequence, etc;
  • Ability to work effectively both autonomously and in teams, collaborate with partners to deliver outstanding results;
  • Experience/interest in Healthcare and/or Health technology;
  • Experience in large scale web services.