AI Engineer Intern

Our Company
At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
Our Internship Program
Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.
What You'll Do
You will work on Projects Including:
As an Agentic AI Engineer intern at Teradata, you’ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
You will:

• Design and write high-performing and scalable software for training models.
• Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.
• Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.
• Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.

Who You'll Work With
Join Forces with the Best. Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI. Work closely with infrastructure teams to scale AI workloads globally. This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where innovation thrives, and your ideas help define the next generation of data interaction.
What Makes You a Qualified Candidate

• Pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or a related field.
• Expert in ML and fine-tuning large language models.
• Proficiency in Python and related ML frameworks such as JAX, Pytorch, and XLA/MLIR.
• Familiar with state-of-the-art techniques for preparing AI training data.

What You Will Bring

• Experience with post-training the models to reach SOTA-level performance.
• Familiar with designing and implementing large-scale model training frameworks.
• Collaborating with pre-training, reasoning, data, multimodal, applied, and product efforts to push the frontiers of model capability.

Pay Rate: $29. 00 - $44. 00 - $50. 00 Hourly
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Why We Think You’ll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.