Natural Language Processing / Ml Research Engineer

Natural Language Processing / Ml Research Engineer
Company:

Ntt Data Services


Natural Language Processing / Ml Research Engineer

Details of the offer

If you are interested in this position, please apply and send your resume to Liz Fox at **********
Job Title: Natural Language Processing / ML Research Engineer
Duration: 12 months
Location: Boulder, CO
Description/Comment:
Our client is committed to a world that's always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are improving the way people learn, whether it's one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us. By pushing the boundaries of technology - and each other to surpass these limits - we create seeds of learning that become the catalyst for the world's innovations, personal and global, large and small.
Role
We are looking for a talented, collaborative research engineer with a strong background in Artificial Intelligence and natural language processing to join the AI Products and Solutions organization. As an R&D organization, our mission is to push the boundaries of what's possible in education and to positively impact millions of learners around the globe. Degrees and formal qualifications are important, but for this position relevant experience and a proven track record to deliver are paramount. You will be working within a highly agile team responsible for developing cutting-edge educational technology with an emphasis on analyzing student language and writing to assess competencies, understanding and critical thinking. Using techniques from natural language processing, cognitive science, machine learning, and deep learning you will work on advancing the state of the art and enhancing the company's learning technology portfolio to solve practical problems for our customers. The ideal candidate will have broad interests in technology, language, cognition and education, who is motivated to design and implement substantive improvements to the company's educational offerings, and is highly skilled in researching and developing innovative ways to contribute to the future of learning.
About the team:
Our team in Boulder offers a unique environment for extremely skilled and motivated thinkers. Our culture is highly charged with people who are passionate about a cause, using technology to enhance students' educational experiences. In addition, Boulder, Colorado has been named as the happiest place in the U.S. which is no surprise given its year-round outdoor activities, a surfeit of sunny days, a laid-back lifestyle, natural beauty, ultra-fresh dining and natural food scenes, the influence of the University of Colorado Boulder, and enough craft beer to put a smile on anyone's face.
Responsibilities:
Develop and assist in evaluation of text analytics, statistical models and computational algorithms to improve the impact of *** products, services and processes.
Apply a variety of machine learning techniques, from linear regression to the latest neural network modeling techniques to improve the efficacy of our educational materials and pedagogy.
Work collaboratively in cross-functional teams to advance ***'s AI products and services.
Participate in new product concepts and create proof-of-concept prototypes.
Create pipelines and automation to deploy machine learning models to the cloud.
Additional Job Details:
Due to the COVID-19 epidemic, this position will start as a remote work position. As business returns to normal, the candidate should expect to spend at least 2 days a week working with the team in the office in Boulder, Colorado.
Minimum Required Skills:

Solid programming experience in modern languages such as Python, Golang, C++.

Proficiency with database technologies and software development best practices such as coding standards, code reviews, source control, build processes and testing.

Experience with linguistic and statistical analysis of natural language, utilizing techniques from artificial intelligence and machine learning including corpus-based methods for training embeddings.

Familiarity with one or more deep learning frameworks (PyTorch, Tensorflow, ...). Experience in effectively applying GPUs in training and prediction, a strong plus.

Strong collaborative skills including understanding alternative points of view and contributing to cross-functional problem resolution.

An interest in cognitive processing and an appreciation of the difficulty in bridging educational goals and technology.

Ability and desire to solve problems pragmatically and to quickly learn new concepts and methodologies as needed.

Evidence of good communication skills.
Minimum Education Requirement:
Bachelor's degree plus 2 years equivalent experience in a quantitative field with evidence of successfully applying speech processing and machine learning techniques to substantive problems and/or Graduate degree in a related field
Our client is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.
The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law. To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.


Source: Dice


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