(425) 224-6760

Newcastle, WA , USA

©2019 by marketingAI


marketingAI is an artificial intelligence company that accelerates decision making by extracting intelligence, unearthing relationships from documents to automate compliance workflow enabling risk mitigation, time & cost savings. Our proprietary algorithms provide CEO’s & CCO’s of financial institutions gain an early line of sight to real time events. Our SaaS offering is powered by deep learning models optimized for the financial industry. 

Your Opportunity:

As an Research Scientist Intern on the Deep Learning Team, you will work closely with Data Science engineers to:

  • Improve performance of our model that is based on convolutional neural networks (CNN) & recurrent neural networks (RNN).

  • Develop NLP / semantic word models for text understanding, entity extraction & classification.

  • Work to understand image, video, and audio.


What sets us apart:

marketingAI interns embody our following core values - 

  • You'll be part of our team immediately.  Everyone will know your name.

  • You'll receive hands-on experience while working with some of our most esteemed AI leadership team

  • As an intern we want you to set your expectations and own them. 

  • During your internship, we'll expect that you take initiative with all your projects. We look for that hustle in all our applicants.

  • The future is unlimited here with our internship opportunities. We want you to be bold and innovate with the latest cutting edge software technologies.

Required Qualification

  • Must be currently enrolled in a PhD program in Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Computer Vision, or related technical field.


Preferred Qualifications

  • Strong ability with at least one of the following tools: Tensorflow, Pytorch, or a similar ML toolkit.

  • Proven ability to collaborate effectively with other researchers.

  • Demonstrate ability to follow through on experiments and deliver and effectively summarize relevant results.

  • Can effectively debug experiments, both in code and experimental framework.

  • Published at least one paper as first author in a major machine learning conference, such as NeurIPS, ICML, ICLR, etc.

  • Ability to lead your own research by asking good questions and formulating experiments.

  • Handle internet-scale data sets and the unique problems that they pose.