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

Sound, Visual, & Display Technology • Atlanta, GA

2d • $53 • Onsite

About The Position

The Data Platform & AI Services research team within Dolby's 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 world's most influential media service providers. We are looking for a PhD Research Intern in ML Data Platform & Visualization to 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.

Requirements

• Currently enrolled in a PhD 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 in data management and visualization, including data modeling, indexing, retrieval, annotation and visualization for large-scale or unstructured media data
• Familiarity with ML 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 as PyTorch
• Proficiency in Python and experience with visualization libraries
• Ability to work independently and as part of a collaborative, cross-disciplinary research team
• Currently enrolled in Doctoral program. Recent grads who are within 6 months of graduation are also eligible to apply.
• Must be available to work full-time Monday – Friday for 12 weeks between September 2026 – December 2026.

Nice To Haves

• First-authored publication or project work in relevant domains at top venues such as IEEE VIS, CHI, VLDB, ACM SIGMOD, SIGKDD, or IEEE Big Data
• Expertise in visualization 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

Responsibilities

• Extend our ML data platform to improve dataset management, discoverability, and quality assessment for large-scale, multimodal media datasets (video, image, audio, sensor data)
• Build scalable visualization tooling that 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 interfaces to support ML research workflows and data management, including ingestion, indexing, retrieval, annotation and representation
• Investigate and apply emerging research in visualization for ML, data-centric AI, and foundation model representations to inform platform design decisions
• Collaborate directly with AI researchers to translate research workflows into platform requirements, bridging the gap between model development needs and data infrastructure capabilities
• Present your work to internal stakeholders, with the possibility of contributing to academic publications or conference presentations

Benefits

• The Atlanta area base hourly range for this internship position is $53/hr and can vary if outside of this location.
• Our hourly 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, experience, and relevant education or training.
• Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree