Be an early applicantLess than 25 applicants

Company

The University of Texas at Austin · 15 hours ago

CME Humanities Research Associate V

Austin, TX

Full-time

Remote

Mid, Senior Level

6+ years exp

Maximize your interview chances

Corporate TrainingEducation

Actively Hiring

No H1B

Insider Connection @The University of Texas at Austin

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Maintain a data lake system with archives of static and streaming internet and news data that can be queried by researchers.

Seek out, scrape and support new datasets that are of interest to CME faculty. Manage the security of the archive, including access, encryption, and security training.

Regularly review security measures, permissions, and encryption protocol.

Manage data back-ups. Store and update documentation of datasets, including provenance files/data sheets, access protocols, and security measures. This may involve some software development.

Develop, implement, and evaluate supervised and unsupervised classifiers, including training and testing classifiers (e.g., BERT, GPT, CNN) for multiple research projects.

Recommend and execute strategies to improve model performance and efficiency.

Document the process and contribute to research and open-source initiatives, including writing model cards.

Work with and support researchers with various backgrounds in computational methods to inform their research designs.

Follow emerging trends in computational research (e.g. RAG, RLHF) and use these learnings to inform researchers of how they could apply to their work.

Other duties as assigned.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRSQL/HadoopTensorflow/Keras/HuggingfaceMachine LearningAWS/Azure/GCPData Science Software DevelopmentData Infrastructure ManagementData ScrapingSignal ProcessingComputer VisionNetwork AnalysisOpen-source SoftwareBig DataCloud Computing

Required

Masters degree in computer science or information with six years of relevant experience.

Technical Skillset: Python (pandas, numpy), R, SQL/Hadoop, Tensorflow/Keras/Huggingface, Github, unix/cmd, github, AWS/Azure/GCP

Significant knowledge in machine learning and working with large data

Ability to develop and optimize data science software

Management of data infrastructure

Experience working with multiple project and collaborating with teams

Clear and timely communication

Preferred

Experience using Rest APIs and/or data scraping

Knowledge of or experience with signal processing, computer vision, or network analysis

Experience with open-source software/OSINT

An ideal candidate should have experience with 'big' data and cloud computing/infrastructure.

Benefits

Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.