Research Scientist

About This Role

This research role focuses on real-world impact, building frontier innovation around efficiency, gradient-free exploration, real-time learning, and interface design within AI systems. It involves co-designing algorithms that react in real-time to product signals and feedback to drive better AI solutions.

Responsibilities

• Innovate on the product to co-design algorithms that react real-time to product signal and feedback
• Design new ways of giving feedback that drive better algorithms
• Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
• Measure whether there is real-world impact by building algorithms capable of interacting with the world

Requirements

• PhD or equivalent research experience in a computer science field
• 4-5+ years of industry experience
• Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
• Systems thinking ability to understand and optimize across the full ML stack
• Strong programming skills in Python
• Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
• Knowledge of model optimization techniques (RLHF, finetuning)
• Experience in an industry lab with computing at scale

Qualifications

• A PhD or equivalent research experience in a computer science field
• 4-5+ years of industry experience

Skills

* Required skills

Benefits