VR AI Engineer — Scalable ML for Immersive Realities

Meta; Redmond; On-site; AUD 398,000 - 509,000; Full time

Job summary

Meta Platforms, Inc. is seeking an AI Specialist - VR to advance immersive technologies through scalable ML solutions and rigorous experimentation.

You will collaborate with engineering teams to collect requirements, design feature roadmaps, and push production-ready models across Meta's platforms. The role focuses on adapting ML techniques for parallel computing environments, training ranking models, gathering data for training, and evaluating outcomes with an eye to economic and game-theoretic

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience with machine learning, NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, AI, information retrieval, or computer vision.
• Experience coding in Java, C++, Perl, PHP, or Python.

Responsibilities

• Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
• Adapt standard machine learning methods to exploit modern parallel environments (distributed clusters, multicore SMP, GPU).
• Research, design, and develop new algorithms to improve Meta's platforms.

Skills

Machine learning

NLP

Reinforcement learning

Deep learning

Recommendation systems

Pattern recognition

Signal processing

Data mining

Artificial intelligence

Information retrieval

Computer vision

Education

Bachelor's degree in Computer Science/Computer Engineering or equivalent

PhD in Computer Science/Engineering or related field

Tools

Java

C++

Perl

PHP

Python

Job description

Meta Platforms, Inc. is seeking an AI Specialist - VR to advance immersive technologies through scalable ML solutions and rigorous experimentation.

You will collaborate with engineering teams to collect requirements, design feature roadmaps, and push production-ready models across Meta's platforms. The role focuses on adapting ML techniques for parallel computing environments, training ranking models, gathering data for training, and evaluating outcomes with an eye to economic and game-theoretic