Data & AI Intern

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the creation and maintenance of data pipelines, which encompass ingestion, transformation, data quality checks, and monitoring.

• Contribute to product features through activities such as coding, testing, documentation, and troubleshooting.

• Support machine learning or generative AI components when they are included in the product roadmap.

• Write and validate Python and SQL code with support from seasoned engineers.

• Acquire knowledge and adhere to established platform patterns, engineering standards, and development practices.

• Engage in code review processes.

• Aid in investigating defects, data quality concerns, and other technical challenges.

• Support the testing and evaluation of data and AI solutions.

• Participate in product pod discussions to gain insights into business requirements and technical decisions.

• Maintain documentation for supported components, processes, and projects.

• Collaborate with the product pod on prioritized backlog items and business challenges.

• Report to the Data & AI Product Manager while receiving technical guidance from engineers within the product pod.

⛳️ Requirements

• Currently enrolled in a bachelor's or master's degree program in computer science, data science, engineering, mathematics, information systems, or a related field.

• Foundational knowledge of Python and SQL acquired through coursework, projects, previous internships, or other relevant experiences.

• Basic understanding of databases, data structures, data modeling, software development, or related concepts.

• Strong problem-solving abilities and meticulous attention to detail.

• Ability to grasp new technical concepts and implement feedback effectively.

• Capacity to communicate progress, inquiries, and challenges clearly.

• Interest in areas such as data engineering, machine learning, artificial intelligence, or software development.

• Preferred: Coursework or project experience in Python, SQL, data engineering, machine learning, or software development.

• Preferred: Familiarity with cloud data platforms or distributed data processing.

• Preferred: Understanding of Git, including branches, commits, and pull requests.

• Preferred: Exposure to tools such as Databricks, Delta Lake, or Unity Catalog.

• Preferred: Coursework, projects, or personal experience related to machine learning or generative AI.

• Preferred: Experience in developing a technical project either individually or as part of a team.

🏝️ Benefits

• Employee-owned company.

• Attractive total rewards.

• Remote work arrangement.