Responsibilities:

• The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, and Machine Learning (including Deep Learning approaches).
• We’re looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next.
• The ideal candidate has a strong mix of education and practical experience.

Experience:

• High level skills needs – Python, NLTK (Natural language processing api in python) and Tensorflow. At a minimum good python skills and knowledge of machine learning.
• Deliver a commercially deployable platform that provides automated content generation.
• Use NLP and ML techniques to bring order to unstructured data.
• Experience in extracting signal from noise in large unstructured datasets a plus.
• Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems.
• Work alongside an excellent, cross-functional team across Engineering, Product and Design.

About You:

• Previous early-stage company experience is a plus.
• Experience in applying machine learning techniques, Natural Language Processing. (NLTK)
• Strong analytical and problem-solving skills.
• Solid software engineering skills specifically in Python.
• Problem solver – able to work independently, and be comfortable with deadlines and milestones.
• Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques.
• Strong communication skills and an easy going attitude.
• Proven ability to apply, debug, and develop machine learning models for real-world applications.
• Previous industry work experience required.

Skills:

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• Git, Spark, TensorFlow
• Python

Qualification

• BS (with at least 3 years of industrial experience), MS or PhD in Computer Science or related field and/or equivalent experience in the space.