Machine Learning Engineer Internship (Autonomous Driving)

TL;DR

Machine Learning Engineer Internship (AI/Robotics): Developing perception algorithms and ML models for autonomous vehicles and delivery robots with an accent on 3D entity recognition, sensor fusion, and audio signal processing. Focus on implementing state-of-the-art academic research into safety-critical real-world driving stacks.

Location: Onsite in Austin, TX; remote work options are not available

Company

hirify.global is a US-based developer of autonomous vehicles and delivery robots that share integrated technologies for urban mobility.

What you will do

• Research and implement long-tail 3D entity recognition by leveraging pre-trained 2D models.
• Advance 3D perception capabilities through RGB-only methods and RGB-LiDAR fusion using PyTorch.
• Develop a vector-based search system for scene databases using embedding models like CLIP.
• Build an end-to-end audio signal processing pipeline for real-time onboard siren recognition.
• Prototype and evaluate novel system architectures within a complex, safety-critical simulation and real-world environment.

Requirements

• Pursuing a Master’s or PhD in Computer Science, Robotics, ML, or Applied Mathematics (expected graduation Winter 2026 – Spring 2027).
• Strong foundation in deep learning, computer vision, reinforcement learning, or probabilistic modeling.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Ability to read, understand, and implement algorithms from academic research papers.
• Must be authorized to work in the U.S.
• No relocation sponsorship provided.

Culture & Benefits

• 1:1 mentorship from leading researchers and engineers in the autonomous vehicle industry.
• Access to massive compute resources and extensive real-world driving datasets.
• Participation in tech talks, paper reading groups, and cross-team collaborations.
• Intern social events and a research-driven engineering culture.