ASMLAlgorithm intern (Internship)

Location & Duration Sydney Central; 6-12 months Role Overview You will participate in the research and development of human aesthetic enhancement and spatiotemporally consistent editing technologies at Meitu. You will work directly with real, product-scale datasets and state-of-the-art algorithms. Depending on the internship track, your work may include (but is not limited to): ·      Fine-grained and controllable image / video aesthetic enhancement ·      2D / 3D human tracking and 3D reconstruction ·      Regression, reconstruction, and structural constraints of digital human models (e.g., SMPL) This role offers the opportunity to produce both production-ready technical outcomes and high-quality academic research results. It is a research-and-engineering-oriented internship, ideal for candidates with strong interest and capability in 3D vision fundamentals, human visual quality enhancement, video generation models, and 3D human modelling. Key Responsibilities ·      Research and implement algorithms related to depth estimation, multi-view generation, and 2D / 3D tracking with spatiotemporal reconstruction ·      Follow state-of-the-art 3D vision papers and open-source projects; reproduce experiments and adapt methods to practical applications ·      Collaborate with data teams to refine the 3D aesthetic development pipeline, improve data collection and quality evaluation, and establish foundations for high-quality scaling ·      Explore the integration of human structure priors (Skeleton / SMPL / Mesh) with multi-modal cues such as depth, normals, and optical flow in reconstruction and generative models ·      Assist in building data processing, evaluation, and visualization tools (e.g., immersive video aesthetic editing) to support rapid iteration ·      Enable high-quality projection of 3D features into 2D visual outputs, with the goal of producing A-level or above academic publications

About the Team We are a visual R&D team focused on human aesthetic modelling and advanced 3D vision research. Our work spans human image understanding, 3D reconstruction, and intelligent aesthetic enhancement. By combining academic research methodologies with real-world product deployment, we continuously explore new frontiers in AI-driven image/video generation, editing, spatiotemporal consistency, and 3D structural understanding. Location & Duration Sydney Central; 6-12 months Role Overview You will participate in the research and development of human aesthetic enhancement and spatiotemporally consistent editing technologies at Meitu. You will work directly with real, product-scale datasets and state-of-the-art algorithms. Depending on the internship track, your work may include (but is not limited to): ·      Fine-grained and controllable image / video aesthetic enhancement ·      2D / 3D human tracking and 3D reconstruction ·      Regression, reconstruction, and structural constraints of digital human models (e.g., SMPL) This role offers the opportunity to produce both production-ready technical outcomes and high-quality academic research results. It is a research-and-engineering-oriented internship, ideal for candidates with strong interest and capability in 3D vision fundamentals, human visual quality enhancement, video generation models, and 3D human modelling. Key Responsibilities ·      Research and implement algorithms related to depth estimation, multi-view generation, and 2D / 3D tracking with spatiotemporal reconstruction ·      Follow state-of-the-art 3D vision papers and open-source projects; reproduce experiments and adapt methods to practical applications ·      Collaborate with data teams to refine the 3D aesthetic development pipeline, improve data collection and quality evaluation, and establish foundations for high-quality scaling ·      Explore the integration of human structure priors (Skeleton / SMPL / Mesh) with multi-modal cues such as depth, normals, and optical flow in reconstruction and generative models ·      Assist in building data processing, evaluation, and visualization tools (e.g., immersive video aesthetic editing) to support rapid iteration ·      Enable high-quality projection of 3D features into 2D visual outputs, with the goal of producing A-level or above academic publications

An exciting internship opportunity to make an immediate contribution to AMD's next generation of technology innovations awaits you! We have a multifaceted, high-energy work environment filled with a diverse group of employees, and we provide outstanding opportunities for developing your career. During your internship, our programs provide the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend amazing networking events, and much more. Being part of AMD means receiving hands-on experience that will give you a competitive edge. Together We Advance your career! DESCRIPTION OF DUTIES IN ADDITION TO THOSE IN JOB DESCRIPTION: • Positions(Either of below areas) Validation Power & Performanc Debug Platform Design •Key Responsiblity •To verify and validate hardware products designed and developed in house at AMD(ATI) using the standard qualification process developed within the hardware qualification group and participates in creating/improving all phases of test procedures and methodologies. •Work closely with internal data producing team and external automation framework team to develop engineering experience-based power and performance data analytic process and visualization structure. •Work closely with SOC design team & program lead team to understand performance target and validation methodology for APU/GPU Component and overall reference design System •Develop system and component level performance test strategies and plans. •Compose validation reports and provide future test plan improvement. •Ensure the failures found in testing is real issue and support the internal design team to find the root cause of the issues; • Executing and/or automating the tests with the instruction of team lead and able to independently work. • Communicate with various internal departments to resolve anomalies • Participate in issuing internal/external releasable test reports. • Able to work for 3-5 days per week, 4-6 months

职位：Sustaining Operations, SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续6个月 · 工作地点：上海 · 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.