Research Engineer Intern (AI/Robotics)

TL;DR

Research Engineer Intern (ML/Robotics): Developing and training machine learning models for autonomous vehicle prediction and planning with an accent on model ensembling and simulation behavior. Focus on bridging the gap between open-loop training and closed-loop simulation performance, and building data-driven evaluation metrics for agent behavior.

Location: Austin, TX. Must be authorized to work in the U.S. Remote work and relocation sponsorship are not available.

Company

hirify.global is a US-based developer of autonomous vehicles and delivery robots.

What you will do

• Implement and evaluate model ensembling strategies using Python and PyTorch to improve closed-loop simulation performance.
• Run controlled experiments to analyze the correlation between open-loop metrics and real-world driving stability.
• Design evaluation functions and quantitative metrics for ML-driven traffic agents in a C++ simulation pipeline.
• Develop algorithms to optimize agent trajectories based on aggressiveness, interaction density, and route fidelity.
• Collaborate with senior researchers to prototype theoretical concepts from academic papers into safety-critical systems.

Requirements

• Pursuing a Master’s or PhD in Computer Science, Robotics, ML, or Applied Mathematics with graduation between Winter 2026 and Spring 2027.
• Strong foundation in deep learning, reinforcement learning, computer vision, or probabilistic modeling.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Authorized to work in the U.S.
• Ability to read and implement algorithms from academic research papers.

Nice to have

• Basic familiarity or willingness to learn C++.

Culture & Benefits

• 1:1 mentorship from leading researchers and engineers in the autonomous vehicle industry.
• Access to state-of-the-art driving datasets and massive compute resources.
• Integration into a technical community via tech talks and paper reading groups.
• Intern social events and cross-team collaboration opportunities.