Data Science (AI & Machine Learning Intern)

Sierra Ventures; San Jose (CA); On-site; USD 2,066,000 - 3,444,000; Full time

Benefits offered by this job

401(k) matching

Flexible spending account

Job summary

Sikka Software, located in San Jose, CA, is seeking a Data Science Intern to work with AI engineers and data scientists on real-world healthcare AI applications. You will gain hands-on experience with ML, LLMs, AI agents, and reinforcement learning techniques while building next-generation healthcare products.

Responsibilities include analyzing large healthcare datasets, building predictive models, developing SQL/Python pipelines, and designing dashboards for stakeholders.

Qualifications

• Currently pursuing a Master’s or Ph.D. in Data Science, Computer Science, AI, Statistics, ML, or related field.
• Strong programming in Python and SQL.
• Solid ML fundamentals: 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; excellent written and verbal communication.

Responsibilities

• Analyze large-scale healthcare datasets to uncover trends, anomalies, and actionable business insights.
• Build predictive models and data-driven solutions to improve healthcare operations.
• Perform 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 stakeholders.
• Collaborate with engineers and product managers to develop AI-powered healthcare applications.
• Evaluate and improve ML/LLM-based systems using quantitative and qualitative metrics.
• Research and prototype AI agents, intelligent workflows, and RL applications for healthcare automation.
• Document experiments, model performance, and technical findings.

Skills

Python

SQL

Machine Learning

Statistics

LLMs basics

Analytical thinking

Communication

Education

Master's or Ph.D. in Data Science/CS/AI

Tools

LangGraph

LangChain

CrewAI

AutoGen

PyTorch

TensorFlow

Hugging Face

AWS/Azure/GCP

Job description

Data Science (AI & Machine Learning Intern)

Sikka Software

2870 Zanker Road, San Jose, CA 95134

Pay

Up to $25 an hour

Job type

• Internship
• Full-time

Benefits

• 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