Responsibilitie

The PICO MR team is dedicated to developing core environmental perception algorithms for the PICO system. The team focuses on three main areas: visual localization, scene perception, and 3D reconstruction. Its work in MR scenarios includes research, exploration, and deployment of technologies such as multimodal scene perception (MLLMs), AIGC scene generation, depth estimation (Mono/Stereo/MVS), 3D environmental perception, 3D scene reconstruction (3DGS, NeRF, etc.), visual localization, and lighting estimation. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Responsibilities 1. Participate in R&D of video generation and 3D algorithms, and promote their deployment in MR application scenarios. 2. Improve the efficiency of generative models (e.g., enhance performance upper limits, accelerate inference speed, reduce costs, increase resolution).

Qualification

Minimum Qualifications 1. Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. 2. Excellent programming skills; proficient in Python/C/C++ and common deep learning frameworks. 3. Solid algorithm foundation in AIGC/3D vision; project experience in AIGC generation. 4. Thorough understanding of latest advances in video/image generation. Preferred experience in any of: Video generation (Long video/HD video), Video editing (Inpainting/Outpainting)/enhancement (Super-resolution/Restoration), 3D/4D novel view synthesis, Video depth estimation 5. Proficiency in 3D representation/rendering models (NeRF, 3DGS); preference for familiarity with 4DGS solutions. 6. Preference for publications in accredited conferences/journals (computer vision/graphics/machine learning) By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $162000 - $316800 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.