AI Research Assistant
Austin, Texas
Modern Intelligence
Responsibilities
- Search and discovery of open-source publications and datasets relevant to research program initiatives.
- Perform exploratory data analysis and engineering tasks such as data cleaning, imputation, normalization, outlier detection, and design ML framework data loaders.
- Design and perform experiments across a wide range of machine learning topics in collaboration with other research team members.
- Build presentations, dashboards, and visualizations to effectively communicate key data insights and trends.
Basic Qualifications
- Bachelor’s or higher degree in a scientific discipline
- Excellent communication skills, and the ability to work effectively in a team
- Proficiency in coding, statistics, and data science (Python, R, Pandas, scikit-learn, etc.)
- Strong understanding of ML experimental design and statistical inference
- Experience with data visualization tools (matplotlib, seaborn, plotly), dashboards, and Jupyter notebooks
- Must be available for full time employment for a minimum of 6 months
Deeper Qualifications
- Proficiency in at least one popular Deep Learning framework (e.g. Tensorflow or Pytorch)
- Experience in working with popular toolkits for NLP and/or computer vision (Hugging Face, spaCy, timm, torchvision, etc.) and experiment tracking (MLFlow, Tensorboard, wandb, etc.)
- Experience in working with relational databases (e.g., SQL)
- Proven publication experience including academic conferences, whitepapers, blog articles, and verbal presentations.
This role requires US citizenship due to federal contracting guidelines. Cover letters are not necessary, but are welcome if they provide meaningful information about you as a candidate that is not conveyed otherwise.
Tags: Business Intelligence Computer Vision Data analysis Data visualization Deep Learning EDA Engineering Jupyter Machine Learning Matplotlib MLFlow NLP Open Source Pandas Plotly Python PyTorch R RDBMS Research Scikit-learn Seaborn spaCy SQL Statistics TensorFlow Weights & Biases
Perks/benefits: Career development Conferences Health care
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