Lead Data/ML Architect
Dolby
- Atlanta, GA
- $144,600-176,700 per year
- Permanent
- Full-time
- 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.
- 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.
- 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.
- Bachelor's degree with 8 years' experience or, Master's degree with 5 years' experience in an engineering or, PhD with 3+ years' experience (computer science, engineering, etc)
- 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
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.