$119,500.00 - $164,500.00Santa Clara,CA
KEY RESPONSIBILITIES:
- Assist in the design and development of AI-driven solutions, including methods, processes, and systems for analyzing structured and unstructured data from diverse sources.
- Support machine learning model development, including data preprocessing, feature engineering, and evaluation using Python and modern AI frameworks
- Collaborate with internal stakeholders to gather requirements and translate them into AI solutions that address business needs.
- Contribute to large language model (LLM) integration, and prompt engineering for enterprise applications.
- Develop and maintain data pipelines and automation scripts for model training and deployment, leveraging SQL and Python.
- Participate in AI experimentation and prototyping, including testing new algorithms and approaches for improving performance and scalability.
- Ensure timely delivery of AI-enabled tools and insights to support decision-making and operational efficiency.
Technical Skills
- Programming & Scripting: Proficiency in Python for data preprocessing, feature engineering, and automation; basic SQL for data queries
- Machine Learning Fundamentals: Strong understanding ofsupervised/unsupervisedlearning, model evaluation, and optimization
- AI Frameworks: Exposure to TensorFlow, PyTorch, or Scikit-learn for building and testing models
- Data Analysis: Hands-on experience with Pandas, NumPy; ability to clean and manipulatestructured/unstructureddata
- Large Language Models (LLMs): Familiarity with prompt engineering and integration concepts
- Data Pipelines: Basic knowledge of ETL processes and workflow automation
- Experimentation & Prototyping: Ability to test algorithms and iterate quickly
- Cloud Concepts: Awareness of AWS/Azure/GCP for deployment (coursework or projects)
- NLP Basics: Text preprocessing, embeddings, and semantic search fundamentals
Soft Skills
- Creative Problem-Solving: Innovative approach to challenges and solution design and a passion for exploring new AI techniques and tools
- Rapid Iteration Mindset: Comfortable with fast-paced prototyping and adapting based on feedback
- Collaboration & Communication: Ability to work with cross-functional teams and explain technical concepts clearly
REQUIREMENTS/EDUCATION:
- Master's Degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Physics, Cognitive Science or a related field.
- Exposure to large language models (LLMs), prompt engineering, or natural language processing concepts.
- Experience working with structured and unstructured data, including data cleaning and feature engineering.
- Understanding of cloud computing concepts (AWS, Azure, or GCP) through academic projects or professional experience.
- Ability to communicate in writing and through presentations and a desire to evangelize AI concepts.
- Prior internship, research, or project experience in AI, automation, or data-driven solutions is preferred.
Applications will be reviewed on a rolling basis. Please apply by January 30, 2026. Note: This position may close early based on application volume or candidate selection.
Full time
New College Grad