Senior Machine Learning Engineer - MindMeld Conversational AI

  • Location:
    San Francisco, California, US
  • Area of Interest
    Engineer - Software
  • Job Type
    Professional
  • Technology Interest
    AI or Artificial Intelligence, Collaboration, Video, Software Development, Testing
  • Job Id
    1210397
New

What You’ll Do
The workplace of the future will be powered by AI and the MindMeld team is making that a reality. Our small team of machine learning and natural language processing experts was recently acquired by Cisco to power conversational interfaces for their Collaboration portfolio. Our first step will be to bring voice AI to meeting rooms. As a Senior Machine Learning Engineer, you will be responsible for mentoring, leading and coaching junior members of the team and making key architectural decisions on the direction of our machine learning platform.

Who You’ll Work With
You’ll join a small, high-caliber team of machine learning and natural language processing experts that are passionate about the future brought by AI. We move fast, take ownership and deliver results that matter. We’re not just aiming to build a conversational AI; we strive to build the best conversational AI application the world has ever seen.

Who You Are
You have a passion for and deep experience in artificial intelligence, machine learning and natural language processing. You thrive in an agile development process. You look forward to joining a high caliber team of experts. You’re not just looking for a job, you’re looking for an innovative product where you can make a large impact. You’re self-driven and set high expectations for yourself. You take ownership and sweat the small stuff. You thrive on constructive feedback. You insist that facts drive decisions. You deliver results that matter.

Our Minimum Requirements Are

  • B.S., M.S., or Ph.D. in Computer Science or Machine Learning
  • 5+ years of applied Machine Learning / NLP experience in the industry
  • Solid knowledge of statistical classifier models (HMM, SVM, deep/recurrent ANN, CRF, LMT, etc.) and of best practices in attribute selection, dimensionality reduction, runtime performance optimization
  • Familiarity with toolkits such as Scikit-learn, numpy, scipy, R, Weka, Matlab, NLTK, Stanford CoreNLP
  • Fluency in Python or other scripting languages
  • Knowledge of NLP techniques such as PoS tagging, NP chunking, shallow/deep parsing, NER
  • Knowledge of IR concepts such as statistical search ranking, knowledge graphs, vectorial semantics, LSA, document clustering
  • Strong communication skills
  • Experience building production AI applications
Why Cisco
We connect everything: people, processes, data, and things. We innovate everywhere, taking bold risks to shape the technologies that give us smart cities, connected cars, and handheld hospitals. And we do it in style with unique personalities who aren't afraid to change the way the world works, lives, plays and learns.

We are thought leaders, tech geeks, pop culture aficionados, and we even have a few purple haired rock stars. We celebrate the creativity and diversity that fuels our innovation. We are dreamers and we are doers.

We Are Cisco.

*LI-MA1

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