Machine Learning Engineer Intern

Revionics, an Aptos Company • US TX Remote, TX

2d • Onsite

About The Position

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 world’s 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. You’ll 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 you’re 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!

Requirements

• In the process of obtaining a Bachelor's/Master's 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.

Nice To Haves

• 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
• Passion
• Initiative and a Pioneering Spirit
• Quality orientation
• Resourcefulness and application
• Big picture thinker with laser focus.
• Expert relationship cultivator.
• Quality orientation.
• Resourcefulness and application.

Responsibilities

• 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

Benefits

• competitive total rewards package including a base salary determined based on the role, experience, skill set, and location.
• discretionary incentive compensation may be awarded in recognition of individual achievements and contributions.
• a range of benefits and programs to meet employee needs, based on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed