Machine Learning Engineer Intern

🕒 May 27

🤠 Texas – Remote

🤠 Texas – Remote

👨‍🎓 Internship

⚪️ Entry-level

🤖 Machine Learning Engineer

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Revionics, an Aptos Company

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

🛒 Retail

🤖 Artificial Intelligence

☁️ SaaS

💰 Debt Financing - Revionics on 2016-08

Retail • Artificial Intelligence • SaaS

Revionics, an Aptos Company is an AI-driven pricing optimization provider that helps retailers optimize base pricing, promotions, and markdown strategies across the full pricing lifecycle. Its SaaS platform combines proprietary algorithms, advanced AI models, and retail analytics to localize prices, predict shopper responses, and improve financial outcomes. Revionics delivers strategic pricing services and implementation expertise to large retailers seeking data-driven price and promotion optimization.

📋 Description

• Design, build, deploy, scale, and evolve end-to-end AI & ML systems • Build out new features on our Science roadmap including agentic AI and predictive AI capabilities • Work on full stack technology from prototyping to production ready models • Collaborate 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

🎯 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) • Proficiency in 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, 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 • Effective communication skills to drive change and influence others

🏖️ Benefits

• Access to industry-leading training and development opportunities • Competitive total rewards package including a base salary based on 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