Data Science Intern

Revionics (an Aptos company) has an opening for an ML engineering intern to join our US team located in the Austin area. Revionics market-leading platform drives the worlds largest retailers in terms of their product pricing, promotion and merchandising decisions worldwide. Over 33,000 retail locations and $200+B in annual revenue across grocery, drug, convenience, general merchandise, discount, sporting goods stores, fashion, and eCommerce sites optimize with Revionics solutions.
The Science team, within the Product Org, plays a central role at the company and is responsible for the various AI & ML solutions (modeling, forecasting, optimization, agentic systems, etc). As an ML engineer on the Science team, you will get to be part of a skilled and diverse team while working with a mix of data scientists and engineers. Youll not only have the opportunity to learn and develop state-of-art AI & ML techniques but also implement/roll-out modern engineering frameworks. Members of the team are expected to own the full Science feature lifecycle from research & development to prototyping to production and support.
If youre someone who is ready to take on a challenge, drive change, and be part of an awesome team, this is the right role for you!

About the Role:
The ML engineer role is responsible for designing, building, deploying, scaling, and evolving the end-to-end AI & ML systems at Revionics (demand modeling and forecasting, optimization, product relationships, generative and agentic capabilities, etc.)

Who you are?

• In the process of obtaining a Bachelor's/Masters degree in computer science or related STEM field, or have equivalent work experience
• Experience with software development (backend/frontend, data engineering, APIs, system design, etc), Python, SQL and/or Scala
• Familiarity with using LLM-based AI platforms such as Claude or Codex
• Research or practical project experience in AI or ML, such as agentic systems (e.g. coding agents, multi-agent orchestration, skills/plugins frameworks), predictive modeling, LLMs, reinforcement learning, or others.
• Interest in applying AI, ML, and data science / statistical techniques within software products and production systems, demonstrated through projects
• Strong algorithmic problem-solving skills and an analytical mindset
• Enjoy tough technical challenges and are naturally intellectually curious
• You seek to drive change and influence others through clear and effective communication.

What youll do?

• Build out new features on our Science roadmap: agentic AI as we introduce code-on-the-fly capabilities, product relationships, and rules management; predictive and decision-making AI as we build out our unified forecasting and price optimization capabilities; and our push to modernize legacy features and functionality.
• Work on full stack technology, from prototyping to production ready models
• Work with product, engineers, and data scientists to translate ideas into new products, services, features, and testing/evaluation processes
• Expose and evangelize our science team capabilities by building microservices, applications, and coding agent plugins

Preferred Qualifications:

• Experience with agent frameworks (e.g. ADK, LangChain) or modeling frameworks (e.g. Tensorflow, PyTorch, JAX)
• Proficiency with data analysis / data science (SQL, pandas, sklearn, etc)
• Ability to translate research work into practical proofs of concept

We also look for

• Passion
• Initiative and a Pioneering Spirit
• Quality orientation
• Resourcefulness and application

Are you the person were looking for?
Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. Its what sets you apart from the rest. You start with a good understanding of the broader strategy, zoom in to assess one particular aspect of that strategy, and then zoom back out to see how changes to that particular area will affect the broader process.
Expert relationship cultivator. Product managers think youre a good partner -- because you are. Developers feel you respect their opinions -- because you do. Youre a true people person, a natural collaborator, and a highly sought-after resource.
Quality orientation. You can write quality user stories and test rigorously with an eye for detail. Your work is thoughtful, timely and valuable to the team.
Resourcefulness and application. We have a pioneering spirit -- when we have questions, we find answers; when were faced with challenges, we find solutions. We turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books, AI -- whatever helps us get the job done. But its not just about using a variety of resources to gain knowledge -- its also about applying that knowledge to other areas of the job or business where it might make sense.