🔥[新加坡] [技术移民机会] 知名海外直播产品公司，招聘高级 Computer Graphics 算法工程师，网络传输算法工程师，机器学习工程师（网络传输方向）等高级算法工程师职位

新加坡知名直播产品团队，国际化平台，富有竞争的薪资，享受新加坡优质生活环境及教育资源，可携带配偶子女一起前往新加坡工作生活，配偶也可在新加坡工作（不占用外籍名额，雇主不用缴纳人头税，找工作有一定优势），子女可正常入托入学（最好幼儿园阶段就过来，无门槛入托入学，过了入学年纪需要参加插班考试）。现阶段技术移民（全家）最简易可操作方式。
提供跨国视频面试；宅在家可走完面试流程。

新加坡税极低，比如税前折合人民币 100 万，在没做减免项扣除的情况下，税后 90 万左右（ 894250 ）；年薪越高跟国内税率差距越大。

公司提供 EP （新加坡专业人士工作准证），提供配偶和子女的 DP （家属准证，配偶可在新加坡工作）。
疫情或环境不稳定期间，可先在国内入职

要求硕士或者博士学历，有相关算法经验

社会安定，全球安全指数最高的国家。欢迎大家来参观和看机会。
有意可发简历到： sophia.liu@dadaconsultants.com
或微信了解详情：sophia_liu611

Senior Computer Graphics Algorithm Engineer

Responsibilities:
1.Perform R&D of the state-of-art computer graphics and animation techniques.
2.Utilize machine learning / deep learning tools to solve computer graphics problems.
3.Follow up state-of-art work in related fields and implementation of new functions based on the requirements for our products.

Requirements:
1.M.S. or Ph.D. degree in computer science, mathematics or related fields.
2.Strong C/C++ programing skill.
3.Solid mathematics knowledge, i.e. calculus, linear algebra, numerical optimization, statistics and etc.
4.Familiar with OpenGL and real-time rendering techniques.
5.R&D experience in computer graphics, animation or 3d reconstruction.
6.Strong problem-solving and teamwork skills.Preferred

Qualification:
1.Publications in leading peer-reviewed CG/CV/AI conferences.
2.Geometry processing, deformation, motion capture and facial animation.
3.Experience in popular rendering engine, i.e. Unity3D, Unreal, and etc.
4.Experience in machine learning techniques and popular deep learning frameworks.

Network Transmission Algorithm Engineer

Responsibilities:
1. Develop and optimize network transmission algorithm, such as congestion control, loss recovery, jitter algorithm, adaptive bitrate streaming
2. Design and develop QoE metrics, utilize data to drive algorithm design and optimization
3. Take the responsibility in network transmission of VoD, live streaming, RTC, VoIP and data center

Requirements:
1. Master or PhD degree in computer science, digital signal processing, similar technical field of study or equivalent practical experience
2. Familiar with computer network related domain knowledge and concepts and protocols
3. Good software development experience in C/C++, hands-on expertise and smart
4. Experiences in algorithm design, problem solving and complexity analysis
5. Good communication and teamwork skills
6. Fast learner and strong analytical and problem-solving skills

Preferred Skills:
1. Experiences in congestion control, adaptive bitrate control, real-time audio/video transmission control, streaming media system
2. Experiences in network emulation/simulation tools and network measurement
3. Experiences in network trace and traffic analysis
4. Publications in peer-reviewed top networking orcommunication conferences
5. Familiar with using machine learning tools like PyTorch, MXNet, Tensorflow, etc.
6. Familiar with mobile app development or algorithm optimization on ARM platform

Senior Machine Learning Algorithm Engineer (Network Transmission)

Responsibilities:
1. Apply Machine Learning (DL/RL) tools to design/optimize/deploy algorithms for network transport tasks over a variety of network types, e.g. wired/wireless/3G/4G
2. Apply Machine Learning/Data Mining tools to conduct in-depth and interpretable data analytics for both operational log traces as well as network data measurements, in order to assist optimizing algorithm design and methodology improvement
3. Conduct comprehensive and in-depth literature survey and gain better understanding of SOTA methodologies and most advanced techniques in the related area, and support and collaborate with other teams

Requirements:
1. Bachelor or Master Degree in computer science, computer engineering, similar technical field of study or equivalent practical experience
2. Experienced in Machine Learning (Deep Learning) related frameworks and tools such as Pytorch/MXNet/Tensorflow, etc; and/or familiar with reinforcement learning related algorithms and frameworks
3. Proficient in at least one of the prevalent programming languages, such as Python/C/C++, and smart and hands-on
4. Strong in algorithmic design, analytical and problem-solving skills5. Quick learner,sharp mind and good communication and teamwork skills

Preferred Skills:
1. Publications (first author) in top tier Machine Learning conference (Journal), and/or
2. Publications (first author) in peer-reviewed top networking or communication conferences;
3. Familiar with/experienced in Reinforcement Learning related algorithms and technology
4. Familiar with computer networks domain knowledge, such as protocols, network emulation/simulation tools and network measurement trace analysis
5. Winners (major contributor if working as a team) in Kaggle-like open data analytics competitions