Senior Manager, Data & AI Platform

Dolby Laboratories; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Flex Work

Job summary

Dolby Laboratories in Bengaluru seeks a Senior Manager, Data & AI Platform to lead a unified data and AI platform development effort. You will guide integration of data pipelines, compute orchestration, and AI/ML tooling, delivering high‑quality APIs and SDKs that accelerate research and production across Dolby’s audio, video, personalization, and content understanding initiatives.

You’ll build reusable components like feature pipelines, embedding services, training/evaluation frameworks, and

Qualifications

• Platform leadership delivering integrated Data and AI/ML platforms at enterprise scale.
• Experience integrating data processing, orchestration, and AI/ML frameworks.
• Strong API/SDK design for reusable pipelines.

Responsibilities

• Set a multi‑year platform roadmap for data pipelines and AI/ML workflows.
• Build a unified platform with Spark, Ray, Kubernetes, Airflow, Flyte, et al.
• Deliver robust APIs, SDKs, and developer tools for end‑to‑end pipelines.
• Ensure reproducible workflows with lineage and governance.
• Provide guardrails and governance around data and models.
• Collaborate with platform engineering/MLOps for observability and reliability.
• Hire and mentor architects and senior engineers.

Skills

Platform leadership

API/SDK design

GPU infrastructure

Distributed systems

Orchestration engines

AI/ML toolchains

MLFlow/W&B

HuggingFace

Kubernetes

Communication skills

Education

Bachelor's in CS/Engineering

Master's degree preferred

Tools

Spark

Ray

Metaflow

Flyte

Airflow

Kubeflow

Argo

Kubernetes

ML tooling (Vertex/AWS)

Job description

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

At Dolby, we’re changing the way the world experiensecsight and sound. We enable people to experience music and movies; videos and pictures in all its intended grandeur and make life & work more meaningful and immersive. We give technology to the world’s content creators, owners, and distributors; manufacturers of TV, Mobile, and PC; and social & media platforms; so that they can truly delight their customers. We're the ones behind the astounding sound and sight experiences in the movie theaters and in your living room; on your mobile phones and on the internet.

What You Will Do

We’re building a unified data and AI/ML model development and training platform—similar in ambition to those platforms at other media technology companies—to accelerate our entire AI/ML lifecycle from data preparation and feature computation to experimentation, large-scale distributed training, evaluation, deployment, and governance & observability.

As Senior Manager, Data & AI Platform, you will lead the team responsible for integrating the data systems, compute orchestration, and AI/ML tooling and exposing these core platform services through high‑quality APIs and SDKs, which hide infrastructure complexity and maximize practitioner velocity across Dolby teams working on audio, video, personalization, content understanding, and generative AI. A major focus is creating horizontal, reusable components—feature pipelines, embedding services, training/evaluation frameworks, SDKs, and model management APIs to simplify the end‑to‑end AI/ML lifecycle.

Your work will enable researchers and engineers to move rapidly and safely from early experimentation to production, with standardized workflows, governance, observability, repeatability and reproducibility, and developer productivity built in.

Key Responsibilities

• Set a multi‑year platform roadmap that integrates data pipelines, AI/ML workflows, and compute orchestration layers across cloud and on‑prem infrastructure — ensuring seamless experience spanning dataset creation to model training, evaluation, and deployment.
• Build a unified platform that abstracts complex underlying engines (Spark, Ray, Kubernetes, Airflow/Flyte/Metaflow, etc.) to provide secure, governed, cohesive workflows
• Deliver robust APIs, SDKs and developer friendly tools and interfaces (CLIs, GUIs, dashboards, etc) to enable AI/ML researchers and engineers to build repeatable, modular, composable end‑to‑end workflows/pipelines — from dataset selection and preparation through model training, evaluation, tuning, and deployment.
• Ensure that all stages of the AI/ML lifecycle — dataset selection, feature engineering, training, evaluation, tuning and AI/ML artifact management — can be orchestrated via consistent, versioned workflows with full lineage and reproducibility
• Provide guardrails and governance around data and AI/ML models while enabling researchers to move from exploratory work to production‑level pipelines with minimal friction by leveraging common evaluation frameworks and automated checks
• Partner with platform engineering/MLOps and infrastructure to define observability stacks for metrics, drift indicators, performance regressions, training/inference health signals, production reliability (SLIs/SLOs), monitoring, and incident response.
• Hire, mentor, and develop architects and senior engineers across data infrastructure and developer experience

What You Need To Succeed

Desired Background

• BS in Computer Science, Mathematics, Engineering, or equivalent technical field. Master’s Highly preferred.
• Proven platform leadership delivering integrated Data and AI/ML platforms used at enterprise scale, with deep experience integrating data processing, orchestration, and AI/ML frameworks and tools to deliver consistent, standardized workflows and pipelines
• Strong API/SDK design experience enabling AI/ML researchers and engineers to build reliable, reusable, and scalable pipelines
• Deep knowledge and extensive experience with GPU infrastructure, distributed systems, orchestration engines, AI/ML toolchains, query engines, pipeline technologies i.e., Ray, Spark, Metaflow/Flyte/Airflow/Argo/Kubeflow, Kubernetes.
• Deep expertise across the AI/ML ecosystem tooling such as PyTorch/TensorFlow/Hugging Face, MLOps stack: experiment tracking, feature stores, model registries/lineage (MLFlow, WnB, Feast, etc), and AI/ML-related AWS/GCP managed services (VertexAI, SageMaker, etc)
• Excellent communication & partnership skills, able to translate complex system design into intuitive developer-facing abstractions
• Bonus. Familiarity with media technology companies data and AI/ML platform approaches, technologies and open-source contributions
• Bonus. Knowledge of multimodal AI/ML (audio, video, text) data preparation, feature extraction, model development, training, and evaluation workflows
• Bonus. Knowledge of LLM/foundation model sizing/estimation, training requirements, evaluation workflows and orchestration and deployment patterns.
• Bonus. Experience designing feature stores or embedding services tightly integrated with training pipelines.

All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding.