Sr. Wearable Device Engineer | University of Chicago (UC) - Military Veterans

Location: Chicago, IL Job Description: Supports the development of the TensorFlow framework, Neural Network design and custom testing developed for the project. Improves results and writes code as needed. Develops a more critical view of Machine Learning models performance not only from the traditional metrics but on custom multi-dimensional metrics and adding a business perspective. Supports work related to audio processing, featurization, and the creation of an efficient pipeline for data processing and model testing. Collaborates with team of Data Scientists. Defines features of audio recording to develop novel models. Creates cutting-edge machine learning algorithms on audio datasets. Develops scripts and code for analyses. Supervises contributions of student Research Assistants to prepare datasets to train algorithms. Collaborates with team and external vendors (e.g., hardware, firmware, and electrical engineers) and weigh in on requirements to run the algorithms. Secures and maintains needed certifications to ensure proper creation and maintenance of TMW Center data systems. Ensures secure data storage, guaranteeing regular backups and storage in compliance with HIPAA and current best practices. Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets. Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs. Performs other related work as needed. Preferred Qualifications   Education: Advanced degree in Computer Science, Statistics, Mathematics, or Economics with a focus on computer science. Technical Skills or Knowledge: Proficiency in Python, Numpy, Pandas and S cikit- Learn. Ability to write production-level code. Experience with cloud resources such as Amazon Web Services (including AWS Redshift, Amazon RDS, and Amazon Aurora). Experience using Linux. Experience with Arduino or hardware integration. Experience developing and implementing machine learning solutions for real world use. Experience handling terabyte size datasets. Application Documents Resume/CV (required) Cover Letter (required) The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.