Job Description

Location : San Jose, CA

Reports To : CEO/Founder

Type : Internship (Summer)

Company Overview

We are a forward-thinking AI company focused on developing Domain-Specific Artificial Human-Like Assistants (AHLA). Our solutions leverage large language models (LLMs) and innovative alternative architectures to revolutionize industries with high-performance, cost-efficient AI. Through advanced training techniques and model distillation, we aim to reduce the Total Cost of Ownership (TCO) for training and inference by three orders of magnitude, while maintaining or exceeding human-level accuracy in highly specialized domains.

As part of this effort, we are looking for an enthusiastic Data Science Intern to join our team for a summer internship. This is an exciting opportunity to get hands-on experience with cutting-edge AI research, machine learning techniques, and domain-specific applications, all while working with industry leaders to improve the accuracy, efficiency, and ethical standards of AI solutions.

Position Overview

As a Data Science Intern, you will assist in developing innovative data strategies and machine learning algorithms that optimize domain-specific AI models. You will work closely with the data science team to improve model accuracy, ensure data privacy, and help design scalable, high-performance AI models. This internship will provide exposure to real-world data science challenges in AI and offer a chance to learn from experienced professionals in the field.

Key Responsibilities

• Data Strategy & Management :
• Assist in processing and cleaning domain-specific datasets to ensure accuracy and quality.
• Contribute to the development of data pipelines and frameworks for analyzing large datasets.
• Collaborate with the team to extract value from industry-specific data for model training and optimization.
• Privacy & Compliance :
• Help ensure that data collection, processing, and model training comply with privacy regulations (e.g., GDPR, HIPAA).
• Assist in developing privacy-preserving techniques such as federated learning and differential privacy.
• Model Training & Accuracy Improvement :
• Contribute to research on advanced machine learning algorithms for improving the accuracy and efficiency of AI models.
• Assist with applying techniques like distillation, transfer learning, and model compression to optimize AI models for specific domains.
• Client Engagement & Domain Expertise :
• Support client engagement efforts by understanding data needs and helping create AI models that meet specific business objectives.
• Help communicate complex data science concepts to non-technical stakeholders.
• TCO Optimization :
• Collaborate with technical teams to optimize model training, data processing, and inference for reduced Total Cost of Ownership (TCO).
• Explore cost-efficient data utilization strategies while maintaining model performance and accuracy.
• Research & Innovation :
• Stay informed about the latest advancements in machine learning, AI, and data science.
• Assist in evaluating new techniques, algorithms, and architectures for enhancing domain-specific AI models.

Qualifications

• Education : Currently pursuing a Bachelor's, Master's, or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field.
• Experience :
• Strong interest in machine learning, AI, and data science.
• Familiarity with data processing tools and techniques (e.g., Python, Pandas, TensorFlow, PyTorch).
• Basic understanding of machine learning algorithms, model evaluation, and optimization techniques.
• Exposure to privacy issues, compliance regulations (e.g., GDPR, HIPAA), and ethical AI is a plus.
• Skills & Expertise :
• Strong analytical and problem-solving skills.
• Experience with large-scale data cleaning, transformation, and analysis.
• Excellent communication skills with the ability to explain complex data science concepts to both technical and non-technical teams.
• Personal Attributes :
• Passion for AI and data science, and a strong desire to learn and innovate.
• Collaborative mindset with a focus on team success.
• Self-motivated, organized, and able to work independently when needed.

Why Join Us?

• Work with a talented, passionate team at the cutting edge of AI and data science.
• Gain hands-on experience working with industry-specific data and applying machine learning algorithms to real-world challenges.
• Receive mentorship and guidance from experts in the field, with exposure to both the technical and strategic aspects of AI research.
• Competitive internship compensation and the potential for future opportunities within the company.

This internship is an excellent opportunity for students or early-career professionals looking to gain practical experience in AI, machine learning, and data science, while contributing to the development of highly impactful AI technologies.

How to apply

Send your resume to [email protected]

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