Staff ML Engineer - Real-Time Cloud/Edge AI (Flex Work)

Via Licensing Corporation; Atlanta (GA); On-site; USD 187,000 - 215,000; Full time

Job summary

Dolby Laboratories in Atlanta seeks a Staff Data/ML Engineer to advance AI-enabled, low-latency streaming systems across cloud and edge devices. You will architect data platforms, ML pipelines, and distributed processing to power immersive experiences.

You will collaborate with Dolby researchers to translate research into production-grade architectures, including cloud backends, real-time data streams, and scalable services that connect to end-user apps on Android/iOS.

Qualifications

• Masters in Computer Science or related field; PhD is a plus.
• 5+ years building distributed data systems.
• Strong Python and another language (C++, Golang, Rust, etc.).
• Experience with cloud systems and microservices.

Responsibilities

• Design and implement advanced data platforms for AI/ML training and inference.
• Develop cloud-based, distributed architectures for low latency streaming.
• Create data collection tools and instrumentation for immersive data-driven experiences.
• Implement data governance and management policies.
• Collaborate with ATG researchers on data/cloud opportunities.

Skills

Python

Distributed data systems

Cloud computing

AI/ML

Education

Masters in Computer Science

PhD is a plus

Tools

Kubernetes

Git

JIRA

TensorFlow

PyTorch

Job description

Dolby Laboratories in Atlanta seeks a Staff Data/ML Engineer to advance AI-enabled, low-latency streaming systems across cloud and edge devices. You will architect data platforms, ML pipelines, and distributed processing to power immersive experiences.

You will collaborate with Dolby researchers to translate research into production-grade architectures, including cloud backends, real-time data streams, and scalable services that connect to end-user apps on Android/iOS.