Support Engineer at AppsFlyer | Beijing

Founded in 2007, Airbnb has evolved from a simple idea of offering a place to stay into a global community of over 5 million hosts welcoming more than 2 billion guests to unique experiences across the world. We are committed to fostering authentic connections and memorable experiences for our guests while empowering hosts to share their spaces and stories.The Community You Will Join:At Airbnb, Machine Learning and Artificial Intelligence are integral to our product offerings. From enhancing Trust and Payments to optimizing Customer Service and Marketing, we harness the power of ML to elevate the experiences of both guests and hosts.The Community Support Products (CSP) Machine Learning team spearheads the CSxAI (Customer Support x Artificial Intelligence) initiatives. Our mission is to leverage Generative AI technologies to create an intelligent, scalable, and exceptional service experience. The team is responsible for developing and refining AI models, ML services, and tools, including LLM fine-tuning, optimization, RAG/Search, and automation of LLM evaluation and testing, as well as feedback-based learning and guardrails for a spectrum of applications within Airbnb.With Airbnb's rich data, complex marketplace, and diverse product offerings, we are committed to pushing the boundaries of AI practice. We invest in long-term innovation to tackle intricate challenges, and we are looking for top-tier ML and AI experts to join our team. The Difference You Will Make:We believe that our current customer experiences are just the tip of the iceberg regarding potential innovations. Science is key to delivering transformative change for our Guests and Hosts at Airbnb.Your role will involve using cutting-edge AI technologies to revolutionize our customer service, creating personalized, user-friendly, and proactive service experiences.Many initiatives you will be working on are in their conceptual stages, providing you with the opportunity to cultivate ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Envision, advocate for, and support the development of innovative ML systems, product integrations, and performance optimizations to address real-world challenges.Collaborate cross-functionally with product, design, and engineering teams to craft solutions that enhance our services.

Airbnb was established in 2007 when two hosts welcomed three guests into their San Francisco home. Since then, it has expanded to over 5 million hosts who have received more than 2 billion guests across nearly every country worldwide. Each day, hosts provide unique accommodations and experiences, allowing guests to connect with communities in a meaningful and authentic manner.The Community You Will Join:Community Support (CS) plays a pivotal role in driving Airbnb's core business. Our Community Support Engineering team is tasked with developing state-of-the-art technology, architecture, and solutions that empower CS at Airbnb. The innovations we create enhance the experiences of guests, hosts, CS agents, and operations teams globally.Aligned with our CS Product vision, we are harnessing the power of AI to revolutionize our customer service delivery, merging sophisticated ML/LLM capabilities with the expertise of our Support Ambassadors to provide a seamless, high-quality support experience.The Impact You Will Have:As the ML Manager for Community Support Product Engineering in China, you will lead a talented team of machine learning engineers. Your focus will be on researching, designing, and optimizing AI models and services that scale our AI-driven products and significantly enhance the Community Support experience for guests, hosts, and support ambassadors.Your Responsibilities Will Include:Recruit, mentor, and develop a dynamic team of skilled machine learning engineers, promoting their technical and professional growth.Take proactive initiatives to achieve results that extend beyond the team's scope.Build strong relationships and ensure alignment with stakeholders within Community Support and across external teams.Effectively communicate complex concepts and decisions to various stakeholders across different functions.Provide essential guidance and input for prioritizing multiple significant projects.Collaborate closely with platform, backend, and frontend engineers to facilitate rapid development cycles without compromising quality, developing robust ML models and systems that enhance community support initiatives. Conduct comprehensive design and architecture reviews to continually elevate our standards of technical excellence.

Join our dynamic team at Aarki Inc. as a Machine Learning Engineer. In this role, you will be at the forefront of developing innovative machine learning models and solutions that drive our business forward. You will work closely with data scientists and software engineers to design and implement cutting-edge algorithms that enhance our data processing and analytical capabilities.

Join Canva as a Machine Learning Engineer and be a part of our innovative team that is transforming the way users create content. In this role, you will leverage advanced machine learning techniques to develop solutions that enhance user experiences and streamline processes. If you're passionate about technology and eager to make an impact in a fast-paced, collaborative environment, we want to hear from you!

Role overview Canva is looking for a Machine Learning Engineer specializing in Training Optimization to join the team in Beijing. This role centers on improving the performance and efficiency of machine learning models that support Canva’s products. What you will do Work with teams across disciplines to refine and optimize model training workflows Design and implement algorithms that improve training speed and model accuracy Apply technical knowledge to help Canva deliver better user experiences through smarter, faster models Impact Your work will help Canva make design accessible and enjoyable for users worldwide by strengthening the core technology behind the platform.

Join Coupang as a Senior Staff Machine Learning Engineer specializing in LLM. We are dedicated to providing our customers with extraordinary experiences, and your expertise in cutting-edge AI technologies will be pivotal in achieving this mission.Coupang is at the forefront of revolutionizing the commerce industry in South Korea, driven by a commitment to making shopping, eating, and living simpler and more enjoyable for everyone. Our unique blend of startup agility and the resources of a global public company empowers us to continuously innovate and grow.Our AI and Knowledge Engineering team is on a mission to enhance customer experiences through advanced technical solutions. We seek talented engineers eager to work with the latest technologies spanning Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. Join us to build a world-class team and advance AI technologies that will shape the future of commerce.

Join Canva as a Senior Machine Learning Engineer specializing in AI Effects and Editing. In this pivotal role, you will leverage your extensive experience in machine learning to enhance our platform's capabilities, developing innovative solutions that redefine visual communication. You will work closely with cross-functional teams to understand user needs and translate them into actionable projects that impact millions of users globally.

About AppLovinAppLovin develops cutting-edge technologies that empower businesses of all sizes to connect with their ideal customers. Our comprehensive software and AI solutions enable companies to reach, monetize, and expand their global audiences. To learn more about our innovative offerings, visit: www.applovin.com.Our mission is fueled by a diverse global team whose life experiences, backgrounds, and perspectives mirror those of our developers and customers worldwide. At AppLovin, we are dedicated to fostering a collaborative culture and seek candidates who excel individually while uplifting others.Recognized by Fortune as one of the Best Workplaces in the Bay Area and a Certified Great Place to Work for four consecutive years (2021-2024), you can explore our accolades HERE.A Day In The LifeWe are on the lookout for a talented and passionate Machine Learning Engineer to join our Research Science team. In this role, you will focus on optimizing machine learning models and enhancing performance within advertising technology, aiming to improve the effectiveness and efficiency of ad placements.The ideal candidate will not only possess an excellent academic and technical background but will also actively contribute to teamwork, staying abreast of cutting-edge technologies and independently identifying and resolving challenges.At AppLovin, you will collaborate with some of the world’s leading developers to create optimal advertising systems and infrastructure. Your skills and expertise will directly translate into visible business growth.We encourage bold innovation and uphold a culture of engineering excellence while rejecting bureaucracy. If you are passionate about technology and aspire to use it to create wealth and effect change, you’ll find like-minded individuals here.The Impact You’ll MakeDevelop and enhance machine learning models related to ad placements to increase predictive accuracy and effectiveness.Work with cross-functional teams to improve data pipelines, optimize model inference performance, and refine monitoring systems.Stay updated on the latest advancements in machine learning and advertising technology, assessing their potential impact on company operations. Implement cutting-edge research into practical projects to drive technological innovation.Proactively identify potential issues and areas for optimization within ad placement systems, proposing viable solutions. Design and conduct experiments to validate hypotheses and optimize model and system performance.Collaborate closely with our talented machine learning engineers, data scientists, and software engineers to seamlessly integrate your solutions into our platform.Who You AreMaster’s or PhD in Computer Science, Mathematics, Statistics, Machine Learning, or a related field.Strong theoretical foundation and practical experience in machine learning, familiar with common algorithms and tools (e.g., Python, TensorFlow, PyTorch).Experience in model optimization and inference performance enhancement, understanding relevant technologies and methods.Outstanding teamwork abilities, adept at communication and collaboration, with a proactive approach to contributing within a team.A strong desire to learn and ability to independently identify and solve problems, quickly adapting to technological changes.Additional StrengthsExperience in advertising technology or related fields.Proficiency in C++ development.Publications in leading conferences on recommendation systems or advertising (e.g., KDD, NeurIPS, SIGIR, Recsys) are a plus.

Join Duolingo as a Senior Software Engineer and be a part of our mission to make education accessible to everyone. In this role, you will leverage your technical expertise to design, develop, and maintain our innovative language-learning platform. Collaborate with a team of talented engineers and product managers to deliver scalable and reliable software solutions that enhance user experience.

Join our dynamic team at Canva as an IT / Audiovisual Support Engineer, where you'll be at the forefront of enhancing our technology infrastructure to support seamless operations. Your role will involve troubleshooting and resolving technical issues related to IT and audiovisual systems, ensuring that our team can communicate and collaborate effectively.In this position, you will work closely with various departments to provide exceptional support, maintain equipment, and implement innovative solutions. If you are passionate about technology and customer service, and thrive in a fast-paced environment, we want to hear from you!

Join Conviva, the premier intelligence layer for digital businesses, transforming consumer interactions into actionable insights. Our technology connects engagement across AI agents, applications, websites, and streaming video to tangible results like purchases and enhanced customer support. With our patented Time-State Technology®, the Conviva® Operational Data Platform provides real-time insights and automation that empower enterprises to grow, boost satisfaction, and establish lasting trust.As a Product Support Engineer at Conviva, you will be an essential bridge between our clients and the Engineering/Product teams. Your main focus will be to deliver exceptional technical support, ensuring that our growing client base remains satisfied and well-informed.

Join our innovative team at Trexquant as an AI Engineer, where you will be integral in the development, optimization, and deployment of state-of-the-art AI workflows and tools. This role presents a unique chance to work with the latest technologies that significantly influence our investment strategies.Design and implement advanced systems utilizing large language models (LLMs), vector databases, and various AI tools for quantitative research applications such as literature review, data search, and code generation.Deploy, monitor, and enhance AI systems to ensure scalability and reliability.Collaborate with portfolio quantitative researchers to develop AI tools tailored to specific market challenges and opportunities.Stay updated on the latest advancements in AI, contributing to internal thought leadership and pushing the boundaries of what's achievable.Deploy AI models in production settings, ensuring seamless integration with existing infrastructure and real-time market data streams.Identify potential AI-related risks and implement necessary safeguards to address model bias and robustness.

Join Canva as a Senior Effects Engine Engineer, where you will play a critical role in enhancing user experiences through the development of advanced visual effects and graphics. You will collaborate with a talented team of engineers and designers to create innovative tools that empower millions of users worldwide to express their creativity.

Join Our Innovative TeamThe Fulfillment Technology team serves as a cornerstone for Grab, empowering us to exceed the expectations of our customers and partners across various sectors and marketplaces in Southeast Asia. We are dedicated to developing high-throughput, real-time distributed systems that leverage cutting-edge software engineering methodologies to handle hundreds of millions of requests daily. You will report to the Senior Software Engineering Manager of Fulfillment, collaborating with a distributed team across five locations: Singapore, Beijing, Indonesia, Malaysia, and Romania.Our mission is to provide the most exceptional products and experiences to our driver partners, enhancing their engagement and adoption of our services. We aim to improve the efficiency and opportunities for our driver partners to fulfill customer orders seamlessly, regardless of the weather, and to create effective marketplaces by establishing sustainable and partner-friendly pricing.About the RoleWe are seeking a Senior Software Engineer to bolster our Fulfillment Platform Engineering Team. The ideal candidate will possess substantial experience in cloud engineering, system design, and architecture, along with a strong background in reverse engineering. You should consistently deliver high-quality code and be enthusiastic about mentoring junior engineers.Your Responsibilities Will Include:Designing, developing, and maintaining scalable data acquisition platforms within a microservices architecture, while addressing challenges during data acquisition.Leading medium to complex projects independently, which involves defining technical designs, aligning with stakeholders, following best coding practices, and meeting non-functional requirements.Implementing best practices and coding standards to ensure the reliability, performance, and security of our backend systems.Writing clean, maintainable, and efficient code, along with conducting code reviews to uphold code quality and adherence to software development best practices.Optimizing and enhancing existing backend systems for improved performance and scalability.Troubleshooting and resolving intricate backend issues and system failures to minimize production impact.

Join Our TeamThe Fulfillment Tech family is a fundamental component of Grab's commitment to providing exceptional service to our customers and partners across Southeast Asia. We focus on high-throughput, real-time distributed systems that leverage advanced software engineering methodologies to handle hundreds of millions of requests every day. You will work alongside a diverse team located in Singapore, Beijing, Indonesia, Malaysia, and Romania, reporting directly to the Senior Software Engineering Manager for Fulfillment.Our mission is to deliver top-notch products and user experiences to our driver partners, enhancing their engagement with our services. We aim to improve opportunities and efficiency for our driver partners, ensuring they can fulfill customer orders reliably, regardless of the circumstances. Additionally, we are dedicated to creating efficient marketplaces by establishing sustainable pricing that resonates with our partners.About the RoleWe are seeking a skilled Senior Software Engineer to become a vital part of our Fulfillment Platform Engineering Team. The ideal candidate will possess a robust background in cloud engineering, system design, architecture, and reverse engineering, consistently delivering high-quality code while mentoring junior engineers.Your Key ResponsibilitiesDesign, develop, and maintain resilient and scalable data acquisition platforms within a microservices architecture, addressing challenges in data acquisition.Independently lead medium to complex projects, defining technical designs and solutions, aligning with stakeholders, adhering to coding best practices, and fulfilling non-functional requirements.Implement industry best practices and coding standards to ensure our backend systems' reliability, performance, and security.Write clean, maintainable, and efficient code while conducting code reviews to uphold code quality and adherence to software development best practices.Optimize and enhance existing backend systems to improve performance and scalability.Troubleshoot and resolve intricate backend issues and system failures, minimizing production impact.

d-ploy works with clients across different industries, providing IT and engineering solutions. The company emphasizes strong partnerships within the IT community and is committed to helping organizations improve productivity and business results. Role overview This part-time IT Onsite Support Engineer position is based in Beijing. The role suits someone adaptable and focused on finding solutions, supporting internal users in an international context. What you will do Deliver first- and second-level technical support to internal users on-site. Assess, prioritize, and resolve incidents and service requests efficiently. Log and manage tickets using the incident management system, following ITIL standards. Install, configure, and maintain hardware, software, and mobile devices. Handle standard software installations, updates, and patches for business applications. Create and update documentation for processes, reports, and knowledge base articles. Collaborate with product teams, development, and business departments to enhance service delivery. Requirements Degree in IT or a related field, or equivalent experience. 2–3 years in IT support, service desk, or similar roles. Strong troubleshooting abilities for user and system issues. Organized, independent, and solution-oriented work style. Solid technical and organizational skills. Professional, service-minded attitude toward users. Clear communication and strong interpersonal skills. Ability to manage multiple tasks while maintaining a customer focus. Experience working in international and multicultural teams. Fluent Mandarin and proficient English, both spoken and written. Available for on-site work in Beijing as needed. Valid criminal record certificate issued within the last 3 months. Benefits Diverse activities, tasks, and projects. "Fishing for Friends" referral program. Opportunities for professional development and advancement. Supportive, international work culture. Company-sponsored events. Competitive salary and comprehensive benefits package.

Join our innovative team at Bosch Group as a Senior Development Engineer in our DCCB division. In this role, you will be at the forefront of developing cutting-edge technologies that enhance our product offerings. Collaborate with a talented group of engineers and contribute your expertise to drive projects from conception to implementation.Your responsibilities will include designing and optimizing engineering processes, working closely with cross-functional teams, and ensuring high-quality standards in development activities. This position offers an exciting opportunity to influence the future of technology and make a lasting impact on our products.

Join Canva, a leading online design platform, as a Senior Software Engineer specializing in our Native Video Engine. In this role, you'll play a pivotal part in enhancing our video capabilities, ensuring a seamless and engaging experience for millions of users. Your expertise will help drive innovation and deliver high-quality video solutions that meet the diverse needs of our global community.

Join our innovative team at Renesas Electronics Corporation as a Senior Application Engineer specializing in Automotive Microcontrollers. In this pivotal role, you will leverage your expertise to develop advanced automotive solutions, ensuring they meet the highest standards of performance and reliability. Your contributions will directly impact the future of automotive technology, helping to drive the industry forward.As a Senior Application Engineer, you will collaborate closely with cross-functional teams, including R&D, product management, and sales, to define application requirements and deliver cutting-edge solutions tailored to customer needs. Your insights and technical skills will be essential in guiding project development from conception to deployment.