Computer Vision Engineer -- AIGC（J93904）
发布于 3 小时前普通员工/个人贡献者
值不值得投
综合评分 80
Frontier AIGC research role in a global tech company, offering exceptional technical growth and competitive compensation, with unspecified work-life balance.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资怎么样
4.5万
比计算机视觉工程中位数高
发布情况
新岗位 · 今天发布
公司情况
这家公司招聘很活跃
约 1180 个在招 · 其中计算机视觉工程 3 个
市场机会
选择面较广
计算机视觉工程 · 约 310 个在招
职位详情
关于这个职位
This role focuses on the research and development of computer vision technologies, specifically training and fine-tuning vision generative and large multimodal models. You will apply cutting-edge AIGC technologies to enhance products within Baidu's Global Business Unit, collaborating with cross-functional teams to solve practical business challenges and maintain market leadership.
最低要求
Master's degree or above in computer vision, natural language processing, deep learning, or a relevant technical field, with over 2 years of work experience.
工作职责
Conduct research and development in computer vision technologies, with a strong emphasis on training and fine-tuning vision generative models and large multimodal models.
优先资格
A proven track record of notable technical achievements, such as first-authored publications in leading conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR).
AI 洞察
优缺点分析
优点
- Opportunity to work on cutting-edge AIGC and multimodal models at a global scale, providing high visibility and impact.
- Access to substantial computational resources and a strong technical community, fostering rapid skill advancement.
- The fast-paced nature of AIGC requires continuous learning and adaptation to state-of-the-art research and techniques.
- Balancing deep research exploration with the practical constraints and deadlines of product deployment.
- Candidates with a strong research background in computer vision and generative AI who thrive in dynamic, product-driven environments.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress from an Individual Contributor to a Senior/Lead Computer Vision Engineer, taking on more complex architectural decisions.
- Transition into AI Research Scientist roles or technical management within the AIGC and multimodal domain.
- Develop and optimize computer vision algorithms, focusing on training and fine-tuning large multimodal and vision generative models.
- Integrate cutting-edge AIGC technologies into global business products to solve real-world challenges and drive product innovation.
- Strong foundation in deep learning, specifically with frameworks like PyTorch or TensorFlow, and proficiency in Python.
- Hands-on experience with generative models (e.g., Diffusion models) and a track record of solving complex technical problems.
申请策略
- Familiarize yourself with Baidu's global products and recent AIGC releases to align your application with the company's strategic direction.
- Highlight specific projects involving Diffusion or multimodal models, emphasizing your direct contributions and the technical impact.
- Showcase publications in top-tier conferences (CVPR, NeurIPS, etc.) or significant open-source contributions to demonstrate research capability.
- Deepen your understanding of the latest advancements in large multimodal models and vision-language alignment techniques.
- Enhance your skills in model optimization and deployment to bridge the gap between research and production.
面试指南
- Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on the technical depth and business impact.
- For research questions, clearly articulate the problem formulation, your proposed methodology, and the empirical results compared to baselines.
- Can you explain the architecture and training process of the Diffusion models you have worked with?
- How do you approach fine-tuning large multimodal models for specific downstream tasks with limited data?
- Describe a time when you had to quickly validate a novel solution for a complex computer vision problem.
- How do you balance the trade-offs between model performance, inference speed, and computational cost in production?
- Review your past projects thoroughly, being ready to dive deep into the mathematical formulations and implementation details of your models.
- Stay updated on the latest papers from top conferences (CVPR, ICCV, NeurIPS) related to vision generative models and multimodal learning.
职位点评
薪资福利
The position offers a highly competitive salary for the Singapore market, reflecting the high demand for AIGC and computer vision expertise.
成长发展
Working on state-of-the-art AIGC and multimodal models provides exceptional opportunities for technical growth and research publication.
工作生活
The work mode and work-life balance are not explicitly mentioned in the JD, so the lifestyle benefits remain unspecified based on the provided text.
使命价值
The role involves developing cutting-edge AI technologies that drive product innovation, contributing to the broader advancement of AIGC.