Ad Creative & Performance Optimization Specialist

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 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!

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.

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.

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.

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 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 Trexquant, a pioneering quantitative investment fund founded in 2014, as we manage a substantial multi-billion dollar portfolio of equities and other liquid assets across global markets. Utilizing an extensive array of data sets, we apply innovative machine learning techniques to identify trading signals and integrate them into market-neutral portfolios. Our team, composed of seasoned professionals with backgrounds in leading hedge funds, is dedicated to fostering a culture of problem-solving through quantitative analysis.Responsibilities: Dive deep into diverse datasets to uncover signals for systematic quantitative strategies. Research and apply cutting-edge academic findings in machine learning and quantitative finance. Craft features from unique data sets to enhance the predictive accuracy of our models. Utilize machine learning techniques for alpha discovery and portfolio construction. Requirements:Recent graduates from the class of 2027 are encouraged to apply.A strong enthusiasm for machine learning and quantitative finance.Exceptional problem-solving abilities and a collaborative mindset.Proficiency in Python; knowledge of financial accounting is an advantage.Prior experience in quantitative research is preferred.Availability for a full-time, on-site internship in Beijing from July to September 2026.Effective communication skills in English.Benefits: Engage in a supportive team environment where your input shapes research directions and you can spearhead innovative ideas. Receive mentorship and guidance from experienced quantitative researchers. Access to proprietary technology platforms for transforming ideas into actionable trading signals. Potential to transition into a full-time role upon successful completion of the internship. Trexquant is proud to be an Equal Opportunity Employer.

Join Bosch Group as a Research Scientist specializing in Reinforcement Learning! In this exciting role based in Beijing, you will leverage your expertise to advance cutting-edge research in the field of artificial intelligence. Engage with a dynamic team of researchers and engineers to develop innovative solutions that shape the future of technology.

Join Trexquant, a pioneering systematic hedge fund that leverages thousands of statistical algorithms to trade across equity, futures, and various global markets. Our team utilizes extensive datasets to create comprehensive feature sets and employ cutting-edge machine learning techniques to identify trading signals, seamlessly integrating them into market-neutral portfolios. We seek talented data scientists, physicists, engineers, economists, and programmers dedicated to crafting the next wave of machine learning strategies for accurately forecasting the future movements of fluid financial assets.As a Quantitative Researcher, you will play a crucial role in creating market-neutral signals, analyzing vast datasets, and collaborating with our Data and Strategy Research team to develop a diverse array of predictive models. While we welcome expertise across asset classes, our current focus is on equities, futures, commodities, and event-driven research.

Join Canva as an Applied Research Scientist, where you will leverage your expertise in machine learning and data analysis to drive innovative solutions. You will collaborate with cross-functional teams to design and implement cutting-edge research projects that enhance our platform. Your work will play a pivotal role in shaping the future of design technology.

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.

Why Join Us:1. As part of the Bosch Artificial Intelligence Research Center, we provide cutting-edge AI solutions globally from a local perspective.2. This role involves close collaboration with leading AI research teams from top universities in China.3. Over 80% of our team members hold PhDs from prestigious institutions and possess rich overseas experience, fostering a harmonious team atmosphere.Role Responsibilities:1. Conduct AI-related research in areas such as Computer Vision (CV), Time Series, and Large Language Models (LLM) aligned with Bosch's specific requirements.2. Collaborate closely with researchers from top domestic universities to drive research completion, publish academic papers, and apply for relevant patents.3. Stay updated on cutting-edge trends and explore the potential applications of CV, Time Series, and LLM in Bosch's projects.

Join Trexquant, a pioneering systematic hedge fund leveraging advanced statistical algorithms to trade across global markets, including equities and futures. Our mission is to harness extensive data sets to develop innovative features and apply machine learning techniques to uncover trading signals, amalgamating them into market-neutral portfolios. We are on the lookout for exceptional talent from diverse fields such as data science, physics, engineering, economics, and programming to create the next wave of machine learning strategies that accurately forecast the movements of liquid financial assets.As a Quantitative Researcher, you will be integrated into one of our specialized teams:Alpha Researcher: In this role, you will focus on generating market-neutral signals, analyzing substantial data sets, and collaborating with our Data and Strategy Research team to construct a varied array of predictive models.Strategy Researcher (Machine Learning Track): Here, you will be tasked with creating systematic strategies utilizing a range of machine learning and statistical methodologies, with data derived from real market trades.Upon applying for a Quantitative Researcher position, we will evaluate your core competencies to ensure a fitting match with our research teams that align with your skills and interests.Key Responsibilities:Develop medium-frequency, market-neutral signals to predict future stock returns.Design, implement, and optimize machine learning models to anticipate liquid asset movements using a comprehensive set of financial data.Analyze data sets to inform future alpha (strategy) development.Explore and apply cutting-edge academic research in quantitative finance.Collaborate with seasoned quantitative researchers to conduct experiments and test hypotheses through simulations.Qualifications:BS/MS/PhD in a STEM field.Strong enthusiasm for machine learning applications.Proficient in programming languages, particularly Python.Excellent problem-solving capabilities.Able to work independently as well as collaboratively within a team.Familiarity with financial accounting is an asset.A background in quantitative finance is advantageous but not required.Benefits:Attractive compensation package with performance-based bonuses tied to the algorithms you develop.Collaborative and supportive work environment, involving you in the decision-making process regarding research directions, with opportunities to lead new initiatives.

Join Canva as a Fundamental Research Scientist, where you will be at the forefront of innovative scientific research. Collaborate with a dynamic team to explore new frontiers in technology and design, contributing to projects that will reshape the digital landscape.As a vital member of our research team, you will be responsible for conducting advanced studies, analyzing complex data sets, and developing cutting-edge algorithms. Your insights will directly influence product development and enhance user experience across our platform.

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.