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Machine Learning Engineering Intern

Role overview

Qualifications

  • Comfortable in Python and TypeScript / JavaScript
  • Genuine interest in Large Language Models (LLMs) and NLP
  • Ability to explain views and actively listen
  • Confident working in both front-end and back-end of a SaaS application

Responsibilities

  • Build product features for AI Agents
  • Create and curate 'golden datasets' from real-world conversations
  • Develop evaluation logic using 'LLM-as-Judge' techniques
  • Iterate on evaluation prompts and logic to improve agent quality

Key facts

Other skills

  • Communication
  • Teamwork
  • Self-Motivation
  • Active Listening

About the company

Zendesk logo

Zendesk

Computer Software / SaaS

Zendesk started the customer experience revolution in 2007 by enabling any business around the world to take their customer service online. Today, Zendesk is the champion of great service everywhere for everyone, and powers billions of conversations, connecting more than 100,000 brands with hundreds of millions of customers over telephony, chat, email, messaging, social channels, communities, review sites and help centers. Zendesk products are built with love to be loved. The company was conceived in Copenhagen, Denmark, built and grown in California, taken public in New York City, and today employs more than 4,000 people across the world.

Company details

Company typeLarge
IndustryComputer Software / SaaS
Company size5001 - 10000

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Job description

Job Description

At Zendesk, we geek out about building software that delivers the ultimate customer experience. Your favorite brands (like Airbnb, Uber, Slack, and Disney) use our products to engage you as a customer, and we lead the industry with beautifully simple software. And we’re constantly innovating - no really, we can’t wait to outdo ourselves in the near future.

We're looking for a passionate Machine Learning Engineering Intern to work on both the back-end and front-end of the Zendesk Explore platform.
 

What you will do:

  • Be part of a team of engineers building product features for AI Agents
  • Your primary mission is to ensure our  evals are a true reflection of human judgment. You will be responsible for building the datasets and frameworks that tell us how good our AI agents really are.
  • Create Golden Datasets: You will dive into real-world conversations to meticulously annotate and curate "golden datasets." These high-quality, benchmark datasets will be the source of truth for training and testing our agents.
  • Develop LLM-as-Judge Evaluations: Using your Python skills, you will write and refine sophisticated evaluation logic within the Braintrust platform. You'll be using cutting-edge "LLM-as-Judge" techniques to assess the quality of our AI's conversations at scale.
  • Iterate to Perfection: You'll constantly compare our automated evaluation scores with human feedback. Your goal is to iterate on the evaluation prompts and logic until we are confident that our automated metrics are directly improving the quality and behavior of our agents.

 

What you bring to the role:

  • Our main stack is Python and TypeScript / JavaScript - you don’t need to be proficient in all of these but you should be comfortable in at least one. 
  • You're ambitious, highly motivated to understand complex AI systems.
  • You have a genuine interest in Large Language Models (LLMs), NLP, and the challenges of evaluating AI agents.
  • You can explain your views well to others and, just as importantly, actively listen to ensure a good discussion.
  • Confident working in multiple languages both in the front-end and back-end of a SaaS application.
  • You enjoy learning new technologies and growing your knowledge and capabilities.
  • You are a student

Nice to have:

  • Knowledge of AWS and other cloud services
  • Experience in back-end data pipelines
  • Any knowledge and/or experience in the analytics industry

#LI-MK12

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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