Responsibilitie

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Topic Content: Multimodal Foundation Models for Intelligent Multimedia Processing Explore next-generation multimedia technologies powered by multimodal foundation models, including perceptual quality modeling, generative enhancement, temporal video understanding, user-centric evaluation, and intelligent visual representation/compression, to advance video quality, efficiency, and user experience in future multimedia systems. Challenges for the analysis, understanding, and quality assessment and enhancement based on multimodal large models: - Modeling complex time sequences in long multimodal videos - Building few-shot grounding-based models for quality assessment - Creating interactive video processing/enhancement models aligned with user preferences Research value of analysis, understanding, and quality assessment and enhancement based on multimodal large models: - Enhance semantic understanding and event localization in medium- and long-length videos, improving processing efficiency, and support key areas such as ads recommendation, content comprehension, video value evaluation, and transcoding enhancement - Lower the cost of quality annotation, enable interpretable assessment of local degradation, boost generalization across different content types, and support pixel-level quality inspection and optimization Responsibilities - Design video analysis (ROI/SOD, content understanding, temporal grounding etc.) and quality assessment algorithms, and participate in database creation, algorithm design/development/optimization, etc. - Participate in designing strategy and solution for E2E video quality optimization with a combination of video analysis, processing and encoding algorithms - Apply designed algorithms for VOD / Live streaming monitoring, data analysis, objective evaluation for algorithms etc. - Collaborate with cross-functional teams to integrate algorithms into production workflows and validate their impact through A/B testing.

Qualification

Minimum qualifications: - Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - In-depth knowledge of video analysis algorithms or subjective/objective video quality algorithms, and state-of-the-art technologies - Proficient in one of the following: C, C++, Python Preferred Qualifications - Familiar with ML and image processing tools, including sklearn, opencv, ffmpeg, etc - Familiar with deep learning frameworks (Tensorflow/Pytorch) - Familiar with Transformer architectures and mainstream multi-modal large models (MLLMs), and hands-on implementation or research experience preferred. - Familiar with Linux development environments, shell scripting, HDFS etc - Knowledge of common video processing algorithms, such as supperresolution, defusion model, etc. - Great communication, eager to learn, and always passionate about turning cutting-edge technologies into real life use cases.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $218400 - $480000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.