Research Engineer, Part-time, Temporary

Job Description

Research Engineer, Part-time, Temporary

Description

At Pearson, we’re 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 always reexamining the way people learn best, 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 to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.

: focus on proof of concept of next generation mgrader, with deep neural networks based acoustic model, including but not restrict to CNN/RNN/LSTM/CTC, developing prototype and models on public dataset, perform tunings on different internal dataset, report and compare performance/findings, documenting research procedures, deliver the necessary code/scripts to reproduce research result

Qualifications

• Master’s in Computer Science, Electrical Engineer or relevant areas with 3-5 years working experience; Ph.D. or ABD (all but dissertation) with graduation in 2019 or 2020 preferred
• Strong desire to integrate research with product development and augment your research abilities with solid programming in C/C and proficiency with SQL, Perl (or Python) and Matlab (or R)
• Skilled knowledge of speech recognition, probabilistic systems, statistical models
• Strong background in statistical modeling and machine learning
• Demonstrate a willingness to learn and apply a wide range of technologies
• Experience with linguistic and statistical analysis of natural language would be highly desirable
• Experience in designing and running ASR (Automated Speech Recognition) experiments using HTK or KALDI are a plus
• Strong written and verbal communication skills

Pearson 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.

Primary Location: US-RE-Remote

Other Locations US-CA-San Jose

Work Locations: US-Remote Remote

Job: Professional Development

Organization: Assessments School

Employee Status: Fixed Term

Job Type: Standard

Shift: Day Job

Job Posting: Oct 17, 2019

Job Unposting: Ongoing

Schedule: Part-time Temporary

Req ID: 1913749

Pearson 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.