Machine Learning Engineering Intern

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Logo of Zendesk

Zendesk

5001 - 10000 employees

Founded 2007

💼 Consulting

📣 Marketing

📦 Logistics

💰 Grant on 2019-09

Consulting • Marketing • Logistics

Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.

📋 Description

• Build product features for AI Agents as part of an engineering team • Ensure evaluations reflect human judgment • Build datasets and frameworks to assess AI agent quality • Annotate and curate high-quality “golden datasets” from real-world conversations • Develop and refine LLM-as-Judge evaluation logic in the Braintrust platform using Python • Compare automated evaluation scores with human feedback • Iterate on evaluation prompts and logic to improve agent quality and behavior • Work across the back-end and front-end of the Zendesk Explore platform

🎯 Requirements

• Student • Comfortable with at least one of Python, TypeScript, or JavaScript • Genuine interest in Large Language Models (LLMs), NLP, and evaluating AI agents • Ambitious and highly motivated to understand complex AI systems • Able to explain views clearly and actively listen during discussions • Confident working in multiple languages across the front-end and back-end of a SaaS application • Willingness to learn new technologies and grow knowledge and capabilities • Knowledge of AWS and other cloud services (nice to have) • Experience with back-end data pipelines (nice to have) • Knowledge and/or experience in the analytics industry (nice to have)

🏖️ Benefits

• Fully Flexible remote work arrangement • Flexible working to work remotely for part of the week • Inclusive experience • Reasonable accommodations for applicants with disabilities and disabled veterans

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