Research Scientist - Reinforcement Learning

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 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.

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 Bosch Group as an AI Research Scientist focused on AI4Science initiatives. This role offers the opportunity to collaborate on cutting-edge projects that harness artificial intelligence to advance scientific research. You will be part of a dynamic team that is dedicated to innovation and technology development.

Join Bosch Group as an AI4Science Research Scientist, where you will engage in cutting-edge research that merges artificial intelligence with scientific disciplines. This role offers the opportunity to contribute to innovative projects that push the boundaries of technology and science.

Join Bosch Group as an AI Research Scientist specializing in AI Generated Content (AIGC). Collaborate with prestigious partners like Tsinghua University to advance innovative AI solutions. Your role will encompass developing cutting-edge algorithms, conducting experiments, and publishing findings in top-tier journals.

Join Canva as a Research Scientist specializing in high-performance AI models. In this role, you will be at the forefront of AI research, contributing to the development of cutting-edge technologies that enhance user experiences across our platform. Collaborate with a dynamic team of experts to solve complex problems and innovate solutions that drive Canva's mission to empower everyone to design.

Join Syngenta Group as a Scientist in Beijing, where you will engage in groundbreaking research and contribute to innovative agricultural solutions. This entry-level position offers an exciting opportunity to develop your skills in a collaborative environment.

Join Bosch Group as an AI Research Scientist specializing in Visual Large Language Models (VLM) in collaboration with Tsinghua University. You will be part of a team dedicated to pioneering advancements in AI and machine learning technologies.

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 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 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.

TrexQuant is on the lookout for a senior alpha producer to take on the role of Co-Head of Alpha Research in our dynamic Beijing office.This position is a blend of hands-on research and leadership for an established researcher with a proven ability to generate profitable and scalable equity alpha. Your mission will be clear: enhance alpha production while simultaneously scaling and uplifting our local research platform.You will collaborate closely with the current Head of Research in China, sharing leadership responsibilities as our team grows. It is crucial to have production credibility as this role is not solely focused on managerial oversight.Key Responsibilities:Co-lead the research function in China, upholding high standards of research quality and reproducibility while conducting structured research reviews.Generate unique, robust, and scalable equity alpha, directly contributing to our live trading P&L.Enhance research quality across the office while scaling the team without compromising standards.Independently create, validate, and implement profitable trading signals to drive alpha generation.Refine existing research methodologies, fostering innovation in modeling, data utilization, and signal creation with a strong emphasis on statistical discipline and out-of-sample validation.Define thematic priorities and research roadmaps to steer the platform's future direction.Mentor team members by coaching researchers, nurturing high-potential talent, maintaining a rigorous hiring standard, and ensuring that growth does not affect alpha quality.Qualifications:BS/MS/PhD in a STEM field.5+ years of experience in systematic equity alpha research.Demonstrated track record of producing statistically robust and profitable trading signals.Direct contributions to live P&L.In-depth understanding of signal decay, capacity management, risk controls, and strategies to mitigate overfitting.Proficient in programming and research infrastructure.Benefits:Attractive compensation package with bonuses linked to the performance of the algorithms you create.Collaborative and friendly work environment where you can actively participate in decision-making regarding research direction, with opportunities to lead innovative ideas.Comprehensive benefits, including healthcare and insurance.

Role overview The Quantitative Research Analyst at NielsenIQ in Beijing plays a key part in analyzing complex data sets. The work centers on using quantitative methods to uncover insights that help shape business decisions. This position supports a range of research projects and involves close collaboration with teams throughout the company. What you will do Use quantitative techniques to analyze large and diverse data sets Generate clear insights that inform and guide client strategies Work with colleagues from various departments on research initiatives Help develop solutions aimed at improving outcomes for clients

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.

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 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.