Senior AI/ML Engineer
Dolby LaboratoriesResponsibilities
- Build data preparation, feature generation, training, testing, validation, deployment, and inference pipelines for production ML workflows.
- Design, build, and operate ETL/ELT pipelines ingesting real-time event streams, third-party APIs, and media-rich sources into a lakehouse architecture.
- Deploy, monitor, troubleshoot, and maintain containerized data services and distributed processing workloads on Kubernetes.
- Develop SDKs, APIs, and reusable platform frameworks for engineering and research teams.
- Implement data validation, reconciliation, governance, catalogs, metadata, monitoring, alerting, and logging.
- Own throughput, latency, reliability, cost, and operational health for production data and AI systems.
Requirements
- 5+ years of experience in data engineering, data platform engineering, AI engineering, or a closely related field.
- Expert proficiency in at least one of Python, Scala, or Java.
- Hands-on experience building production ML/AI pipelines through training, testing, validation, and deployment.
- Production experience with Databricks Lakehouse, Delta Lake, Spark optimization, Workflows, and large-scale heterogeneous datasets.
- Deep production-scale experience with Ray, Apache Spark, or an equivalent distributed processing framework.
- Hands-on experience deploying, operating, and troubleshooting production Kubernetes workloads.
- Strong experience with AWS, GCP, or Azure and their data services.
- Advanced SQL skills and solid knowledge of relational and NoSQL databases.
- Understanding of data modeling, schema design, lake, lakehouse, and warehouse patterns.
- Experience with messaging, pub/sub, queues, or streaming platforms.
- Preferred experience with MLflow, Airflow, Kubeflow, Feast, feature stores, vector databases, embedding pipelines, retrieval systems, batch and online inference, generative AI, LLMs, multimodal AI, GPU optimization, distributed computing, CI/CD, Infrastructure-as-Code, or open-source data and AI projects.
- Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
Benefits
- Flexible Flex Work approach supporting where, when, and how employees work best.
- Collegial culture, challenging projects, recognition for work, and excellent compensation and benefits.
Tech Stack
Categories
About Dolby Laboratories
We're the rain on the roof in a movie. The music flowing through your earbuds when you're at the gym. The footsteps lurking behind you in a video game. The voice of a colleague on a call who seems to be right next to you. The sight of a breathtakingly bright and vivid sunset on your TV. Making experiences come alive through technology is what we do. It's been our mission since day one. It began with our founder, Ray Dolby, a visionary scientist and inventor. As a young engineer and music lover, he was driven to improve the listening experience. And with that simple motivation, plus countless hours of experimentation, he created a solution—a solution that was elegant and practical, highly sophisticated, and wholly devoted to the artist's vision. Even as we've become a global company, Dolby Laboratories continues to reflect Ray Dolby's values. Here, science meets art. And high tech goes far beyond computer code. Founded in 1965 and headquartered in San Francisco, Dolby has grown into a leading global innovator and developer of audio, imaging and voice technologies for cinema, home theaters, PCs, mobile phones, and games. Our products include Dolby Digital Plus, TrueHD, Dolby Voice, Dolby Atmos and Dolby Vision. Today, over 2,000 individuals around the globe share their talents and energy to enable the most immersive experiences that technology can deliver.