Join the Leader in Entertainment Innovation: PhD Data Analyst Research Intern (Fall 2024)

Embark on a journey with Dolby Laboratories and help us shape the future of entertainment and communication. The Dolby U internship program provides impactful, project-based work experience in a collaborative, creative environment alongside industry leaders. Ignite your curiosity by developing real-world solutions that revolutionize how people communicate and enjoy entertainment globally.

We offer an inclusive culture, challenging projects, excellent compensation, and benefits. Our truly flexible Flex Work approach supports where, when, and how you perform your best work. For students eager to gain invaluable expertise through meaningful contributions, join us in shaping the future where technology meets entertainment!

About the Advanced Technology Group (ATG)

The Advanced Technology Group (ATG) is Dolby’s research division. ATG’s mission is to forecast, provide insights, and develop technological solutions that drive Dolby’s growth. Our researchers possess extensive expertise in computer science and electrical engineering, including AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

Summary of the Role

Become a crucial player in shaping the future of automotive experiences by leveraging cutting-edge technologies and diverse data sources! As a Data Analyst Intern, you'll analyze multi-modal data from cars to enhance user experiences, using various data sources like audio, video, sensors, and natural language interactions. Your insights will help to revolutionize in-car audio experiences.

Responsibilities Include:

1. Multi-Modal Data Collection and Analysis:

• Collaborate with a car data capture system to extract and integrate data from different modalities (audio, video, lidar, radar, GPS).
• Develop preprocessing pipelines to handle synchronized multi-modal data.

2. Machine Learning Model Development:

• Utilize machine learning techniques to create models for various tasks.
• Audio Processing Models: Extract relevant features from audio data. Train regression and classification models for audio processing, noise detection.
• Computer Vision Models: Implement computer vision models for cockpit analysis, passenger occupancy, driver attention. Perform semantic segmentation on video frames.
• Sensor Fusion and Tracking: Combine lidar, radar, and GPS data. Track objects in real-time.
• Natural Language Processing (NLP): Process language (text and/or waveform) for in-car interactions.

3. Model Evaluation and Optimization:

• Evaluate the performance of multi-modal models using appropriate metrics.
• Optimize models based on user feedback and real-world scenarios.

Qualifications:

Education:

• Pursuing a PhD degree in Computer Science, Audiovisual Engineering, Electrical Engineering, Design, Mathematics, Physics, or related fields.

Technical Skills:

• Experience with command-line interface.
• Experience with machine learning.
• Familiarity with cloud systems.
• Passion for multi-modal data analysis.
• Experience with hardware prototyping and soldering is a big plus.

We recognize that applying to internships can be a daunting process, especially for those without previous experience or who are new to the field. We consider relevant project, volunteer, and extracurricular experiences. Include them on your resume and apply!

Eligibility

Eligible applicants must be working towards a PhD in Computer Science, Audiovisual Engineering, Electrical Engineering, Design, Mathematics, Physics, or related fields. Recent grads within six months of graduation may also apply. The internship requires full-time availability, Monday – Friday, from September 2024 to March 2025.

Internship Start Date:

Monday, September 23rd, 2024

The base hourly range for this internship position in the San Francisco/Bay Area is $44-57/hr, which may vary based on location. Compensation is determined by role, level, and location, along with job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific hourly range, perks, and benefits for your location during the hiring process.