Senior Research Scientist, Editing; Multimodality
Listed on 2026-07-18
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Location: San Jose
Employment Type: Regular
Job Code: A35704
Responsibilities- Conduct cutting-edge research and development in computer vision and machine learning, especially in the areas of multi-modal understanding, vision and language, large-scale training, etc.
- Explore new products with artificial intelligence technology at its core.
- At least 3 years of research and practical experience in one or more areas of computer vision, including but not limited to:
- Experience in multimodal understanding, such as video highlight detection and slicing, audio/music understanding, etc.
- Experience in vision and language, such as image/video captioning, retrieval, VQA, and other related fields.
- Experience with language models and apply them in various downstream tasks, especially for intelligent editing.
- Experience in large-scale training and RLHF.
- Publications in venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML or ACL, EMNLP, COLING, etc.
- Highly competent in algorithms and programming.
- Strong coding skills in C/C++ and Python.
The base salary range for this position in the selected city is $244,800 - $450,000 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:
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.
Qualified applicants with arrest or conviction recordsQualified 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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
- Exercising sound judgment.
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