Machine Learning Engineering Intern

Cresta; United States; Remote; USD 62,000 - 96,000; Full time

Benefits offered by this job

Hourly pay $45-$70

Lunch stipend up to $25

PTO: 4 days

Job summary

Cresta in the United States is seeking interns for the Knowledge Assist team to design, develop, and deploy AI-powered solutions for contact centers. You’ll work with top researchers and engineers on GenKA, KS, and RAG projects, gaining hands-on experience in real-world AI systems.

This internship offers mentorship and opportunities to contribute to production deployments, along with exposure to security, cost-efficiency, and scalable AI challenges in a fast-paced, collaborative environment.

Qualifications

• Pursuing a degree in CS/AI/ML or related.
• Strong Python programming skills.
• Solid understanding of ML fundamentals and generative modeling.

Responsibilities

• Design, develop, and deploy KA solutions and models.
• Improve reasoning and evaluation in real-world scenarios.
• Collaborate with front-end and back-end teams to integrate KA into customer solutions.
• Scale AI systems for production with performance and reliability in mind.
• Contribute to future roadmap for Cresta’s KA.
• Research ways to improve security and cost-efficiency of AI systems.

Skills

Python

Machine Learning

Experiment design

Education

Bachelor’s or Master’s degree in Computer Science/AI/ML

Tools

PyTorch

TensorFlow

Job description

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta’s co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it’s at Cresta.

About the role:

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact center industry, focusing on improving agent productivity by providing access to the right knowledge at the right time.

Our current projects:

• Generative Knowledge Assist (GenKA): Real-time, context-aware suggestions for contact center agents, integrating with multiple knowledge bases to streamline information retrieval, reduce agent effort, and ensure accurate responses.
• Knowledge Search (KS): A search experience tailored for contact center agents. Built on the GenKA stack, it aims to evolve into an enterprise search solution beyond contact centers.
• Retrieval-Augmented Generation (RAG): A critical project underpinning GenKA, KS, and VA, enabling efficient retrieval of relevant knowledge content and generating read-to-use agent responses grounded in knowledge.

Our internships offer a dynamic, fast-paced environment where you’ll collaborate with top researchers and engineers in the field. We provide opportunities for interns to make significant contributions to AI research and apply novel techniques at scale.

This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities :

• Design, develop, and deploy Cresta’s KA solutions and proprietary models.
• Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios.
• Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions.
• Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
• Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA.
• Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Qualifications We Value:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow).
• Strong understanding of machine learning fundamentals and generative modeling.
• Ability to design and analyze experiments involving large-scale datasets.
• Work authorization in the country of employment at the time of hire.

Perks & Benefits:

• $45-$70 per hour subject to taxes
• Lunch can be expensed (up to $25) while working in the office.
• PTO: 4 days

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

This posting will be used to fill a newly-created role.