Previous Job
Previous
ML Engineer
Ref No.: 17-03212
Location: New York City, New York
Our Client is a wellness as a service company that applies artificial intelligence and machine learning to biological data – e.g., microbiome, transcriptome and metabolome data – to provide personalized recommendations for healthy living. We are a small, fast growing, and interdisciplinary team of passionate experts in biochemistry, microbiology, medicine, artificial intelligence and machine learning. Since our client was formed in October 2016, we have already established high-tech laboratories, have offices in four states, and offer a commercial product that has generated high demand.
We are looking for an Client Engineer at our client's NYC Office to contribute to a world-class system that uses a variety of statistical machine learning models using supervised and unsupervised techniques.
Responsibilities include:
Your responsibilities include iteratively designing, implementing, and validating a machine learning system that:
  • Uses data from microbial & metabolic profiles for tasks such as clustering, prediction, and hypothesis testing
  • Develop data curation pipelines that perform tasks including ingest, clean, transform, consolidate, resolve entities, link, enrich, etc
  • Utilizes the latest advances in machine learning and deep learning to quickly improve the above models
  • Work closely with and incorporate results from a team that is building a knowledge representation and reasoning using NLP and KRR
Qualifications:
  • A Bachelor's degree with a concentration in Machine Learning. A Master's or a PhD, and additional relevant experience are a plus
  • Requires a deep understanding of the full range of Client techniques including CNNs, RNNs, LSTMs, GANs, word embedding, etc., and the ability to absorb the latest advances in this field
  • Expertise in bioinformatics applications will be a major plus
  • Excellent communication skills and the ability to work in a fast-paced environment, where you can dive in and deliver results quickly
Desired Experience:
  • Demonstrated experience with building and deploying concrete Client applications
  • Requires top-notch programming experience using libraries (TensorFlow/Torch/etc), Client automation tools (e.g., DataRobot), unsupervised techniques (e.g., TDA/Ayasdi), and others
  • Comfortable building commercial system using cloud data stores and massive data sets
You are someone that others enjoy working with others and have a positive attitude. If you think you can do the job and are excited by the opportunity, we want to talk to you.