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# Staff Machine Learning Engineer

- **Company:** Dolby Sound
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Salary:** $187,200.0 - $215,200.0
- **Contract:** Permanent contract
- **Skills:** Multitier Architecture, Artificial Intelligence, JIRA, Bash Shell, Big Data, C++ (Programming Language), Cloud Computing, Continuous Integration, Data Governance, Data Structures, DevOps, Digital Content, Distributed Data Store, Distributed Systems, Data Flow Control, Github, Python (Programming Language), Machine Learning, Meta-Data Management, Peer-To-Peer (P2P), Software Architecture, Software Tools, Tensorflow, Service Design, Software Engineering, Data Streaming, Rust (Programming Language), Cloud Platform System, Pytorch, Apache Spark, Deep Learning, HybridCloud, Git, Event Driven Architecture, Semi-structured Data, Kubernetes, Information Technology, Low Latency, Optimization Algorithms, Apache Flink, Complex Event Processing, Apache Kafka, Spark Streaming, Data Management, Video Streaming, Databricks, Golang, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-machine-learning-engineer-atlanta-ga--9d89d9f0-157f-48bc-a627-060734d9cebb

## About the Role

Machine Learning, Smartphones, Electrical Engineering, Audio Engineering, Internet of Things, Data Science, Cloud Computing, Image Processing, Computer Science, Artificial Intelligence (AI), * Technical depth: Necessary technical knowledge to create new SW architecture, platforms, and enabling systems needed for real-time, just-in-time processing for audio/video algorithms running on distributed fashion between cloud and edge devices. Basic knowledge on Audio/Video streaming formats.

 * Explore new technologies: Openness to learn new areas and innovate in the new areas., * Masters in Computer Science or related field, PHD is a plus
 * 5+ years of professional experience with relevant experience building and designing distributed data systems
 * Knowledge of statistics, data science, AI/machine learning, big data management
 * Strong proficiency in Python and an additional language (e.g., C++, Golang, Rust, etc)
 * Expertise in data structures, distributed algorithms (consensus, coordination, etc), data modeling, and data analytic techniques of heterogenous, stream-based data
 * 4+ years of experience in cloud systems, distributed computing architectures (n-tier, peer-to-peer, microservices), service design and implementation (REST, Thrift/gRPC, etc), container orchestration (Kubernetes) and optimization techniques
 * Experience with real-time messaging and streaming architectures, platforms, and frameworks (PubSub/Kafka, Storm, Kinesis, Dataflow/Beam, Flink, Spark Streaming, etc)
 * Experience with AI/ML models, cloud-optimization, and software development patterns
 * Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc
 * Familiar with git and project management tools, such as JIRA
 * Excellent problem-solving and partnership skills
 * Excellent communication and presentation skills
 * Desired: Knowledge of Audio/Video formats, processing, editing, and streaming.
 * Bonus: Experience with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.
 * Bonus: Experience with Databricks / Spark

The Atlanta Area base salary range for this full-time position is $187,200 -$215,200, which can vary if outside this location, plus bonus, benefits, profit sharing and equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.

## Description

* Design and implement advanced data platforms, unified data models spanning structured and unstructured data sets, and data-enabling systems like metadata management services to support training and inference of AI/ML models in hybrid-cloud environment.
 * Design and implement cloud-based, distributed software architectures and microservice-based platforms to enable low latency, real-time streaming and complex event processing that deliver Dolby's next gen Audio/Visual experiences in the cloud or on end-user devices.
 * Develop new applications, novel data collection tools, and instrumentation regimes that enable an amazing variety of interactive and immersive data-driven experiences by inferring context of both content and the world around us using AI-based techniques.
 * Consult and implement data governance and management policies to support Dolby's position as trusted custodian in the media, entertainment, and technology ecosystems.
 * Partner with ATG researchers to understand data and advanced cloud system-related opportunities in adjacent research domains such as applied AI and machine learning in Audio / Video domains., * Invent & Innovate: Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production.
 * Work with a sense of Urgency: Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market.
 * Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises.