Data Science and Machine Learning Intern
Are you looking for an exciting opportunity in Defense and Aerospace? TREALITY® Simulation Visual Systems welcomes people who share our determination and high standards to join us in doing work that moves the world forward and saves lives. TREALITY® SVS has a diverse culture that celebrates autonomy and inspires leadership at every level of our organization.
TREALITY® SVS is looking for someone seeking an internship. A student that is currently seeking a Bachelor or Master of Science in Computer Science, MIS, Statistics or Business Administration to join our team and make a difference.
Job Summary:
As a Data Science and Machine Learning Intern, you will assist in the development and optimization of data pipelines and machine learning models, focusing on AI and large language models (LLMs). You will work closely with our AI and engineering teams to preprocess large datasets, develop and fine-tune models, and implement solutions that enhance our products, processes and services.
Key Responsibilities:
- Data Processing: Clean, preprocess, and organize large datasets for machine learning model training and evaluation.
- Model Development: Assist in the development, training, and fine-tuning of machine learning models, including large language models (LLMs) using frameworks such as TensorFlow and PyTorch.
- Pipeline Automation: Support the automation of data processing and model training pipelines.
- Model Evaluation: Perform model evaluation and testing to ensure accuracy and efficiency, providing detailed reports on performance metrics.
- Project Analysis: Understand project scope and requirements, developing detailed use cases and scenarios.
- Design Contribution: Contribute to the project design.
- Technical Challenges: Work with the design and development team to tackle technical challenges related to asset integration, optimization, and generative AI tasks.
- Technology Application: Learn the application of technologies generative AI tasks to generate solutions.
- Communication: Communicate effectively with teams through good written, verbal, and presentation skills.
Qualifications:
- Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field.
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Preferred Skills:
- Familiarity with programming languages such as Python and R.
- Basic understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Exposure to data processing tools and techniques (e.g., pandas, NumPy, SQL).
- Interest in learning about containerization tools like Docker and orchestration tools like Kubernetes.
- Analytical Skills: Strong problem-solving skills and the ability to analyze complex data sets.
- Must be US Person.
Competencies:
- Self-driven, enjoying the opportunity to improve or find new ways of working.
Benefits:
- Hands-on Experience: Work on real-world projects and gain hands-on experience with advanced AI and data processing technologies.
- Mentorship: Receive guidance and mentorship from experienced professionals in the field.
To apply: Send resume to melinda.rinehart@trealitysvs.com.