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Data Science (AI & Machine Learning Intern)
Software Engineering, Data Science · Full-time, Intern
San Jose, CA, USA
USD up to 25 / hour
Posted on Aug 28, 2026
Data Science (AI & Machine Learning Intern)
2.2 out of 5 stars
2870 Zanker Road, San Jose, CA 95134
Up to $25 an hour - Full-time, Internship
Job details
Pay
- Up to $25 an hour
Job type
- Internship
- Full-time
Benefits
Pulled from the full job description
- 401(k) matching
- Flexible spending account
Full job description
About Sikka.ai
Sikka.ai is The Optimizer and Insights Company™, transforming healthcare through AI-powered insights and intelligent automation. Our cloud-based integration platform (Sikka Platform Utility™) connects with thousands of healthcare practices, enabling applications that improve operational efficiency, increase profitability, and enhance patient care.
As a Data Science Intern, you will work alongside AI engineers and data scientists on real-world healthcare AI applications. You'll gain hands-on experience with machine learning, Large Language Models (LLMs), AI agents, and emerging Reinforcement Learning techniques while helping build next-generation intelligent healthcare products.
Responsibilities
- Analyze large-scale healthcare datasets to uncover trends, anomalies, and actionable business insights.
- Build predictive models and data-driven solutions that improve healthcare operations and business performance.
- Perform exploratory data analysis (EDA), statistical analysis, and model evaluation.
- Develop SQL queries and Python pipelines for data extraction, transformation, and analytics.
- Design dashboards and visualizations to communicate insights to technical and business stakeholders.
- Collaborate with engineers and product managers to develop AI-powered healthcare applications.
- Evaluate and improve machine learning and LLM-based systems using quantitative and qualitative metrics.
- Assist in researching and prototyping AI agents, intelligent workflows, and Reinforcement Learning applications for healthcare automation.
- Document experiments, model performance, and technical findings.
Required Qualifications
- Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Machine Learning, or a related field.
- Strong programming skills in Python and SQL.
- Solid understanding of machine learning fundamentals, including:
- Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation Metrics
- Familiarity with statistics and data analysis techniques.
- Basic understanding of Large Language Models (LLMs) and Generative AI.
- Strong analytical thinking, curiosity, and problem-solving skills.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience with Reinforcement Learning concepts such as Markov Decision Processes (MDPs), Q-Learning, Policy Gradient methods, PPO, or Deep Reinforcement Learning.
- Familiarity with Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), reward modeling, or preference learning.
- Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
- Experience with Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and LLM evaluation.
- Familiarity with PyTorch, TensorFlow, Hugging Face, or other deep learning frameworks.
- Experience using cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Personal AI projects, research publications, Kaggle competitions, or open-source contributions are highly desirable.
What You'll Gain
- Work on production AI systems serving real healthcare customers.
- Gain hands-on experience with LLMs, AI Agents, and Reinforcement Learning technologies.
- Collaborate with experienced AI engineers and data scientists in a fast-paced startup environment.
- Build solutions that directly improve healthcare operations and patient experiences.
- Opportunity to contribute to cutting-edge AI products from research through production deployment.
Pay: Up to $25.00 per hour
Expected hours: 40.0 per week
Benefits:
- 401(k) matching
- Flexible spending account
Application Question(s):
- This job requires 5 days a week on-site with 40 hours of work a week; only apply if you are able to commit.
Ability to Commute:
- San Jose, CA 95134 (Required)
Ability to Relocate:
- San Jose, CA 95134: Relocate before starting work (Required)
Work Location: In person