Senior Research Scientist
发布于 大约 22 小时前普通员工/个人贡献者
值不值得投
综合评分 69
High-impact ML research role with strong developmental potential in a flexible environment, but with limited explicit information on compensation and lifestyle factors.
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
48K
比人工智能中位数高
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 280 个在招 · 其中人工智能 3 个
市场机会
选择面较广
人工智能 · 约 870 个在招
职位详情
关于这个职位
This Senior Research Scientist position at MediaTek Research (MRTW) focuses on advancing state-of-the-art machine learning theory and its applications. You will work on challenging conventions in ML/DL, with a focus on novel application areas such as AI-designed IC and General Intelligence Conversation. The role is ideal for researchers passionate about pushing boundaries in a collaborative, flexible environment.
最低要求
Advanced degrees (MSc or above) in Mathematics, Computer Science, Electrical Engineering, or an equivalent degree in a related field.
工作职责
Push the state of the art of learning theory, to obtain insights beyond mythical theories.
AI 洞察
优缺点分析
优点
- Work on cutting-edge, theoretical ML research with direct application to high-impact, tangible products (like chips).
- Part of a dedicated research unit (MRTW) with a mandate to challenge conventions, offering significant intellectual freedom.
- Collaborative environment with access to a global network of internal and academic researchers.
- High expectations for publishing in top-tier venues, which can be demanding and competitive.
- Research outcomes must be translated into practical solutions, requiring a balance between theoretical purity and engineering feasibility.
- Working in a fast-paced tech industry may involve adapting research priorities to align with corporate product roadmaps.
- This role is ideal for a research scientist with a strong publication record who is passionate about theoretical ML and wants to see their work applied to novel, challenging real-world problems in a well-resourced corporate R&D setting.
缺点 / 挑战
暂无明显挑战项
角色解读
- Potential to grow as a Principal Research Scientist, driving long-term research agendas and becoming a technical authority in the field.
- Could transition into a research management role, leading larger teams or specific research domains within MediaTek Research.
- Opportunities to influence product strategy through research breakthroughs, especially in AI-for-hardware and intelligent systems.
- Conduct advanced research in machine learning and deep learning, aiming to push the boundaries of learning theory.
- Apply these theoretical advancements to solve real-world, novel problems, specifically in areas like AI for IC design and conversational intelligence.
- Collaborate with internal research teams and the global academic community to foster a productive R&D environment.
- Expertise in core ML/DL fields such as Computer Vision, NLP, or Robotics, with a strong theoretical foundation.
- Proven research capability demonstrated by publications in top-tier AI conferences (e.g., ICML, NeurIPS).
- Experience leading technical projects, translating computational theory into non-black-box solutions for real-world applications.
申请策略
- Tailor your application to emphasize how your research aligns with MediaTek's mission to apply ML to new domains like IC design.
- Be prepared to discuss not only the technical details of your papers but also the real-world insights and applications derived from them.
- Explicitly list your publications in top AI conferences (ICML, NeurIPS, ICLR, etc.) as the centerpiece of your research profile.
- Detail the projects you have led, emphasizing the 'non-black box' approach and the computational theories applied to solve real problems.
- Highlight your specific ML/DL background (e.g., Computer Vision, NLP) and any experience related to AI for hardware or dialogue systems.
- Ensure your understanding of learning theory is current and can be clearly articulated, as it is a core focus of the team.
- Familiarize yourself with MediaTek's specific research interests, such as AI-designed IC, to demonstrate targeted motivation.
- Practice explaining complex research concepts in a clear, accessible way, as collaboration with diverse colleagues is required.
面试指南
- For technical questions (Q1, Q3): Structure your answer using the STAR method (Situation, Task, Action, Result) or a clear logical flow: Problem -> Approach -> Innovation -> Results -> Impact.
- For project-based questions (Q2): Clearly outline your leadership role, the team structure, the specific 'non-black box' methodology you championed, and quantify the outcome if possible.
- For motivation and fit questions (Q4, Q5): Connect your past experiences directly to the company's stated interests. Show genuine enthusiasm for the problem domain and articulate your unique perspective.
- Can you walk us through one of your publications from a top conference, explaining the core idea and its significance?
- Describe a project you led where you applied modern computational theory to a real-world problem. What was your approach and what were the results?
- How do you stay current with the rapid advances in ML/DL research, and how do you see your work contributing to pushing the state of the art?
- Our team works on applying AI to IC design and conversational intelligence. What interests you about these specific application areas?
- How do you balance pushing the boundaries of theoretical research with the practical needs of engineering and product development?
职位点评
薪资福利
The compensation for this role is not mentioned in the JD. Based on the senior title, advanced degree requirement, and company profile, compensation is likely to be competitive but cannot be confirmed.
成长发展
The role is explicitly research-focused at a leading tech company, offering high potential for deep skill growth in ML theory and cutting-edge applications. The environment emphasizes pushing boundaries and collaboration.
工作生活
The work location is Taipei, Taiwan. The JD mentions a 'flexible' environment, but provides no specific details on work-life balance, remote work policy, or overtime expectations.
使命价值
The position offers the meaningful goal of advancing AI theory and applying it to solve novel, impactful problems (e.g., AI for chip design), which can be motivating for a research-oriented individual.
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