Slice is looking for a Machine Learning Technical Lead Manager to join our Information Extraction team.
The Information Extraction team at Slice is responsible for using machine learning to build the world’s largest cross-merchant purchase graph from email. We build engines for email classification and field extraction. We leverage existing open source technologies and established machine learning approaches, but also innovate and research new techniques. And of course, we do all this at a large scale: hundreds of billions of documents.
As a machine learning technical lead manager, you will be hands on, spending a mix of your time researching new solutions for information extraction as well as productionizing these solutions to make sure they work at scale. In addition, you will manage a small team of machine learning engineers and software engineers, as well as communicate and coordinate across the various engineering teams at Slice.
You will be joining the Slice Data Science community featuring PhDs, graduates from universities like Stanford, Carnegie Mellon, UCLA, and University of Washington, as well as veterans from companies like Facebook, Microsoft, Yahoo!, and eBay.
Slice was founded by proven entrepreneurs and offers the best of both worlds: a startup with the backing of an established global company that is revolutionizing the internet services landscape. We are still run by our founders and function as an independent subsidiary. Currently, it is the most cited source in e-commerce. Learn more about Slice Intelligence at www.sliceintelligence.com and on twitter @SliceIntel.
This position is located in our San Mateo office.
Lead a small team of rock-star data scientists and data engineers to research and develop machine learning algorithms that perform and scale on massive sets of data
Help define data science and engineering problems with the team
Coordinate across different teams on determining priorities, driving iterations, and task planning
Research and experiment with different machine learning algorithms and techniques to find structure in unstructured documents
Conduct design and code reviews
Work with other engineers to make sure the engines scale well on high volumes of data




Expertise in text classification, sequence labeling, text clustering, etc.
Expertise in Java or Python
Excellent written and verbal communication skills
Proficiency with SQL and experience with one or more DB query clients (e.g. MySQL)
MS/PhD in a technical field (or BS with strong industry experience)
Experience with cloud based code deployment such as Amazon Web Services preferred.
Bonus: Experience with applying solutions to languages such as Japanese, German, French for more generalized NLP engines
Bonus: Experience with big data technologies like Hadoop, Spark, Heron, Kafka, etc.
Enthusiasm for working hard and having fun in a dynamic startup environment

How to apply:

Please mention NLP People as a source when applying


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About Slice

Slice allows users to track packages, store online purchase information, get price drop alerts and keep track of their online spending.