PhD Machine Learning Research Internship

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 CTO & 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:

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.

Responsibilities:

• Contribute to research that can be applied to Cresta product development
• Conduct research to develop state-of-the-art generative AI algorithms, applying techniques in deep learning, natural language processing, and multimodal AI.
• Analyze and optimize the efficiency, scalability, and stability of deployed algorithms, depending on project goals.
• Collaborate with cross-functional teams to align research with Cresta’s product vision.
• Communicate research progress and findings clearly to stakeholders.
• Publish findings in top-tier AI conferences and journals where applicable (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Minimum Qualifications:

• Currently pursuing a PhD 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.

Preferred Qualifications:

• Proven research achievements demonstrated through first-author publications in leading AI conferences.
• Experience building AI systems for practical applications, with a focus on scalability and robustness.
• Contributions to open-source AI frameworks or tools.
• Strong analytical problem-solving skills and ability to handle complex, high-dimensional data.

Internship Details:

• Duration: 12 to 24 weeks, with flexible start dates throughout the year.
• Location: Flexible (on-site, remote, or hybrid options available) in United States or Canada;
• Mentorship: Work closely with experienced researchers and engineers in a collaborative environment.

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.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.