Cisco Software Developer - Machine Learning in San Jose, California
Software Developer - Machine Learning
Location: San Jose, California, US
Additional Location(s) Remote, US
Area of Interest Engineer - Software
Job Type Professional
Technology Interest Collaboration, Video
Job Id 1228074
Who We Are
The CTO team in the Collaboration Technology Group (CTG) is the innovation engine for this multi-billion dollar business. Come be part of a ground floor opportunity to build Machine Learning (ML) capabilities across our product portfolio. You'll be part of a small but growing team that works cross-functionally to ideate, prototype, build and train ML models that ultimately make their way into deployed products. Covering areas like face recognition, natural language processing, speaker identification, anomaly detection, and content recommendation, your work will be foundational to our next generation of products and features. The Collaboration Technology Group at Cisco is investing heavily in this area, and has already announced our own Webex Assistant - a Conversational Voice AI built into our video conferencing systems. In this role, you'll get to work on that as well, at the very earliest stages of the product.
Who You Are
•BS/BA, MS, or PhD in CS/CE/EE or related field, or equivalent practical experience
•Mathematics fundamentals: linear algebra, calculus, probability, basic statistics
•Experienced in traditional ML techniques: logistic regression, KNN, SVM, various trees
•Experienced in Deep Learning techniques: MLP, CNN, RNN/LSTM/GRU, GAN
•Experienced in Python scientific tools, such as Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, Caffe2, CNTK, CoreML, PyTorch
•5-8 years of experience working with applied machine learning problems, such as computer vision, NLP, voice user interface, audio classification, anomaly detection, recommendation
•Excellent written, verbal and presentation communication skills
•Open-source project experience
•Ability to implement feedforward neural networks in C/C+•Publication in conferences/journals such as NIPS, ICML, AAAI, KDD, JMLR, ICLR a strong plus
•Achievements in ML competitions such as Kaggle a strong plus
At Cisco, each person brings their unique talents to work as a team and make a difference.
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