Computer Vision & Machine Learning Engineer

Quick Facts

• Role: Computer Vision & Machine Learning Engineer

• Focus: Audio-video perception, multimodal representation, real-time on-device inference

Description

You will develop and integrate audio-video perception and representation algorithms with multimodal GenAI researchers and engineers. The role centers on building, integrating, and maintaining complex real-time systems within a large production software stack, with a strong emphasis on machine learning inference, on-device performance optimization, and low-level systems programming.

Responsibilities

• Design and drive software architecture for production systems and internal tools

• Implement and optimize performance-critical algorithms for mobile and embedded platforms

• Integrate multimodal models across audio, image, and video modalities for efficient on-device inference

• Build tooling for visualization, logging, debugging, and evaluation

• Integrate real-time perception, 3D representation, and animation systems into a broader end-to-end software stack

Requirements

• Bachelor’s degree in Computer Vision, Computer Graphics, Machine Learning, Computer Science, Computer Engineering, or related fields

• 3+ years of relevant industry experience

• Strong proficiency in C++ and Objective-C/C++ with clean, well-structured code

• Experience building concurrent, real-time systems (threads, synchronization, asynchronous processing)

• Experience profiling and optimizing performance-critical code or ML inference on device

• Solid mathematical foundation in linear algebra and numerical analysis

• Experience developing user-facing APIs for complex systems

• Curiosity and flexibility to work across different layers of the software stack

Benefits

• Opportunity to shape upcoming products and deliver high-impact solutions for millions of users

• Work in a fast-paced team on challenging multimodal audio-video perception and representation systems