Dolby Careers PhD Research Intern Data Management & Visualization (Fall 2026, Atlanta)

About the Role

TheData Platform & AI Servicesresearch team within Dolbys Advanced Technology Group focuses on advancing our AI and data platforms to enable AI-based innovation and deliver cloud and network-delivered media experiences to power the worlds most influential media service providers.

We are looking for aPhD Research Intern in ML Data Platform & Visualizationto extend our existing data platform with scalable tooling that helps ML researchers understand navigate and extract insight from large-scale multimodal datasets. You will build on a production-grade platform while drawing on and contributing to emerging research in visualization for machine learning data-centric AI and foundation model interpretability.

As a Research Intern you will:

• Extend our ML data platformto improve dataset management discoverability and quality assessment for large-scale multimodal media datasets (video image audio sensor data)

• Build scalable visualization toolingthat enables ML researchers to explore embedding spaces surface semantic representations from foundation models and understand dataset structure at scale

• Design and implement interactive data exploration interfacesto support ML research workflows and data management including ingestion indexing retrievalannotationand representation

• Investigate and apply emerging researchin visualization for ML data-centric AI and foundation model representations to inform platform design decisions

• Collaborate directly withAIresearchersto translate research workflows into platform requirementsbridging the gap between model development needs and data infrastructure capabilities

• Present your workto internal stakeholders with the possibility of contributing to academic publications or conference presentations

The role will be based out of our research facility inAtlanta GA and offers the opportunity to work withstate-of-the-artcomputing resources and proprietary datasets.

Requirements

Candidates should meet one or more of the following:

• Currently enrolled in aPhD program in Computer Science Human-Computer Interaction Computational Media Data Science Electrical Engineering or a related field with interest in data management data visualization ML infrastructure or media data systems

• Strong background indata management and visualization including data modeling indexing retrievalannotationand visualization for large-scale or unstructured media data

• Familiarity withML workflows and researcher tooling understanding how ML researchers interact with datasets during training evaluation and debugging

• Solid understanding of deep learning fundamentals and experience with frameworks such asPyTorch

• ProficiencyinPythonand experience with visualization libraries

• Ability to work independently and as part of a collaborative cross-disciplinary research team

Highly Desired Experience

• First-authored publication or project work in relevant domains at top venues such asIEEE VIS CHI VLDB ACM SIGMOD SIGKDDorIEEE Big Data

• Expertiseinvisualization research for ML including dataset cartography latent space visualization data-centric AI or interactive ML tools

• Hands-on experience building data visualization tools or interactive ML exploration interfaces embedding viewers dataset dashboards annotation UIs or similar

• Experience with scalable data processing and model training

We will review applications on a rolling basis. For the best chance to have your resume reviewed and considered we recommend submitting your application byJune 26 2026.

Eligibility

Currently enrolled in Doctoral program. Recentgradswho are within 6 months of graduation are also eligible to apply. Must be available towork full-time Monday Friday for12 weeksbetween September 2026 December 2026.

The start date for this internship is as follows (please note these dates are not flexible):

• September 21 2026