Join our team and mission to create robots that help people reach their full potential.
Embodied, Inc. (www.embodied.me) is working to create groundbreaking products and services that impact people’s quality of life in meaningful ways. Founded and led by a diverse team of pros in robotics, AI and machine learning, entertainment, and consumer electronics, our mission is to bring positively disruptive technology to the full diversity of consumers. We are securely funded by Intel, Osage, Amazon, and other investors.
From the heart of Old Town Pasadena in sunny Los Angeles, California, we are growing a team of passionate engineers developing a new product category from the ground up.
Ideal applicants have expertise in natural language processing, machine learning including deep learning and AI. Here are the details of the position.
Embodied is looking to add a talented and creative Senior Natural Language Processing Engineer to our growing technical team. Responsibilities include:
Design and implement state-of-the-art NLP algorithms to enable natural conversation
Push the envelope on current NLP techniques, and develop new algorithms on our robot platform
Work collaboratively with:
Domain experts to implement robot features and behaviors specific to end-users’ needs
Creative team of writers and animators to design engaging robot content
CV and ML experts to improve and personalize user perception
Firmware and software engineers to implement NLP
Have fun & learn while working at a startup with a great team and an incredible mission!
5+ years of proven experience building robust NLP systems from scratch to scale
BS/BA in CS, CE, EE, Statistics, or Robotics (MS/PhD with focus in NLP preferred)
Strong programming skills in implementing efficient algorithms for large corpus text analysis, translation or context understanding
Experience with tools for text processing and representation; worked with standard tools such as Mahout, OpenNLP, CMUSphinx, etc.
Experience implementing Deep Learning techniques to solve novel language challenges
Familiarity with C, C++, Java, C#, Python, Git; comfortable with both object-oriented and procedural programming
Excellent communication skills to effectively collaborate with an interdisciplinary team
Implementation level knowledge of Machine and Statistical Learning techniques applied to today’s NLP problems, such as Speech Recognition, Machine Translation
Implementation level experience with open-source ML toolkits such as TensorFlow, Theano, Caffe, MLlib, NumPy, etc.
Implementation level experience with open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, Lingpipe, Mallet, etc.
Level of experience (years):
Senior (5+ years of experience)