Senior Machine Learning Engineer

R&D / Engineering | Salt Lake City, UT, United States | AMERICAS

Senior Machine Learning Engineer

Location: Salt Lake City, UT


Primary Purpose

The Senior Machine Learning Engineer will design, implement, and test machine learning models and algorithms for driving real time, state-of-the-art insights for the NICE CXone platform.  Key responsibilities include involvement in all tiers of technology development including (but not limited to) the design and implementation of algorithms and models, testing, peer reviews, production support, and assisting others in a team environment utilizing agile development processes. 

As a machine learning engineer at NICE, you will be focused on enhancing cutting edge data analytics technologies.  You will be working on multiple interesting projects designing, implementing and testing machine learning models from beginning to end.  You will have the opportunity to make significant and novel contributions to the technology while also improving our customer’s lives.


Major Functions/Responsibility:
  1. Turn smart, state-of-the arts analytics insights into results in real time
  2. Deliver proto-algorithms, specifications or actual code building upon NICE's proprietary NLP to solve a variety of problems and use cases
  3. Perform corpus wrangling: acquiring, curating, analyzing and modeling multi-channel unstructured data
  4. Perform rigorous feature engineering and error analysis
  5. Collaborate with computational linguists and software developers
  6. Utilize agile methodologies for software development

    This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.

    This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.


Required Education, Experience, and Specific Job Related Skills 

Education Requirement:
  • Masters degree in Computational Linguistics, Computer Science, Business Information Systems, or Theoretical Linguistics would be useful for this position. However, talent and brains trump degrees every time. 

Experience Requirement:
  • Ability to apply state-of-the-art research to software applications
  • 3+ years of experience applying machine learning solutions to natural language processing or business intelligence problems
  • Highly skilled in one or more programming languages, preferably C++/C#/Java, or scripting languages such as Python
  • Experience with one or more of the machine learning/deep learning tools and libraries (e.g. TensorFlow, Spark, Keras, Theano)
  • Experience with one or more NLU tools and libraries (e.g. spaCy, NLTK, Dialogflow, LUIS, Rasa)
  • Strong understanding of NLP processes such as tokenization, POS tagging, and parsing at a low level
  • Ability to work collaboratively on the design and implementation of solutions with computational linguists and software engineers
  • Excellent problem solving and communication skills
  • Desire to work in a fast paced environment
  • Fast learner

Experience Preferred:
  • Strong background in mathematics/statistics especially in multivariable calculus, linear algebra and optimization theory
  • Strong understanding of supervised/unsupervised machine learning algorithms
  • Experience with Docker, AWS and understanding of the concept of microservices
  • Experience with Business Intelligence, Analytics or Big Data
  • Experience in Agile software development processes in a commercial setting
  • Ability to write production level code
  • Call center and telecom experience
  • Foreign language proficiency
 

ABOUT NICE: NICE makes it easy and affordable for organizations around the globe to create outstanding customer experiences while meeting key business metrics. NICE continuously innovates and is the only provider to offer a complete customer interaction platform in the cloud that is flexible, scalable and reliable for enterprise, small business, government and business process outsourcers.

Share with a friend Facebook Twitter LinkedIn Google+