Based in San Mateo(right near the closest train stop in a brand new office), we are a privately held, established three year Big Data Analytics start-up using a data-as -a-service to dominate the space. Through the use of machine learning and artificial intelligence technologies, we predict what the business user wants to visualize and then connects the data to the BI tools for fast and accurate results.
It should come as no surprise that some of the most reputable company’s out there like Nike, Disney and Boston Biomedical(to name a few) use our tool of choice.
With the combination of funding we have closed recently along with our rapidly growing customer base, we are looking to hire talented Machine Learning enthusiasts who love data to support our aggressive growth plans that we have ahead.
If you are a Machine Learning Engineer with 3+ years of experience working with Java or Python, please read on!
Top Reasons to Work with Us
Disruptive and innovative are just a few words to describe us
We already have over 75 employee’s and have been around for less than three years
Competitive Base + Equity + Health Benefits and unlimited PTO
We have fun and are deeply passionate about what we do and what we are trying to accomplish
The chance to join a funded, yet established start-up in an exciting space as our first Machine Learning Engineer
Although We Hire For The Person, And Not The Skill Set, Qualified Candidates Should Be Well Versed In a Majority Of The Following Area’s
MS Degree Required(Ph.D strong plus)
Python / Java / Scala
Machine Learning Techniques and libraries; TensorFlow, MXNET, Keras to name a few
Natural Language Processing(NLP) / Recurrent Neural Network(RNN)
A few other traits we look for in our employee’s:
Data and analytics guru
Passionate about open source development and machine learning
Ability to work on a small team with the chance to move into leadership role down the road
You excel in a fast-paced environment and can handle multiple tasks at once
How to apply:
Please mention NLP People as a source when applying
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