Senior Machine Learning Engineer, Customer Support Engineering

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.   The Community You Will Join: Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world.  As part of the CS Product vision,  we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience.    The Difference You Will Make: As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors.   What You’ll Do:  Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development.Proactively take initiatives to drive for outcomes over the scope of the team.Build relationships and drive alignment with stakeholders within Community Support and across external teams.Communicate difficult or complex concepts and decisions clearly and effectively with multiple stakeholders across various functions.Provides critical guidance and input in prioritization over multiple major projects. * Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives. * Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence. Your Expertise: * Expertise in ML & AI: Deep knowledge of various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products. * Leadership in ML Development: Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences. * Management and Mentorship: Strong leadership skills with a track record of nurturing an innovative and collaborative team environment. * Communication Excellence: Exceptional verbal and written communication abilities, with a keen eye for detail. * Collaborative Spirit: Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally. * Problem Solving: Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches. * Educational Background: PhD, or Master's degree in Computer Science,  Mathematics, Statistics, or related technical field. * Industry Experience: 9+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs.  * Leadership Experience: 2+ years managing machine learning teams that deliver large impact. * Technical Proficiency: Expert knowledge of machine learning algorithms and techniques. * Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Man Group

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   The Role As an Lead Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions. As the local lead for our growing Front-office Engineering team in China, you will also be instrumental in hiring, onboarding, and shaping the team from the ground up.   Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and MS SQL.  We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.   Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists.    Key Competencies Required * 5+ years of professional experience in software engineering, preferably with a focus on quantitative applications * Experience as a technical lead or people manager, encompassing both team development (hiring, building teams, and mentoring junior engineers) and project management (driving technical delivery) * Expert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn * Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment * Proficient on Linux platforms and strong understanding of Git * Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB * Demonstrated experience working with large data sets, both structured and unstructured Advantageous * Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank * Experience building web applications using modern frameworks like React * Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis * Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing * Strong understanding of financial markets and instruments * Experience working with financial market data * Relevant mathematical knowledge e.g., statistics, time-series analysis   Personal Attributes * Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics * Intellectually robust with a keenly analytic approach to problem solving * Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities * Focused on delivering value to the business with relentless efforts to improve process * Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike * Confident communicator: able to argue a point concisely and deal positively with conflicting views   Working Here Man Systematic has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community. * We regularly talk at leading industry conferences across the globe * We host and sponsor Boston meetups and London’s PyData and Machine Learning Meetups * We open-source some of our technology, including our ultra-high-performance DataFrame database, ArcticDB. See https://github.com/man-group for a full list and more information. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on work-life balance and the wellbeing of our staff. We are simultaneously committed to “levelling the playing field” and believe that agile working promotes inclusivity across teams, regions and business units. In general, Technology roles are expected to be in the office for 3-4 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager’s discretion. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. NOTE: NO VISA SUPPORT   The Community You Will Join: The Global Markets engineering team is focusing on evolving our guest and host experience for global markets through new product initiatives to accelerate international growth. Expanding in under-penetrated global markets is a key pillar of our company's growth strategy. To achieve this, we want to innovate in every sense of the word and adapt our product to every corner of the globe. We want every user in each of our 220+ countries and regions to feel right at home.  We are a remote team based in different cities in China, and we meet up in person regularly to collaborate, connect and celebrate.   The Difference You Will Make: As a senior iOS engineer on the mobile team, you will tackle the unique technical challenges of building for global markets — locale-aware UI, market-specific features and integrations, and performance optimization across diverse conditions. You will work on projects spanning the full product surface, from signup/login, search, PDP, checkout, and reviews to foundational components like maps, networking and logging. You will partner closely with PMs, designers, data scientists, and engineers across both our China-based team and Global partner teams to ship features that make millions of users across under-penetrated markets feel right at home. As a senior team member, you will also play a key role in raising the engineering bar through code reviews, tech design reviews, and mentoring.    A Typical Day:  * Partner with cross-functional teams (PM, Design, DS, QA) and Global engineering teams to translate product requirements into technical solutions and help shape the roadmap * Write and review technical designs for large, open-ended problems — from market-specific product features to foundational mobile infrastructure * Write clean, testable, and maintainable Swift code to ship polished, pixel-perfect user experiences * Mentor and support the career growth of other engineers through pairing, code reviews, and technical guidance * As the tech lead of a project, drive end-to-end delivery, communicate progress to stakeholders, and own the overall quality across the full release cycle Your Expertise: * 5+ years of iOS development experience; proficient in Swift, SwiftUI, UIKit, and Core Animation / Core Graphics * Proficient in applying AI-powered development tools (e.g., Claude Code, Codex) to accelerate development workflows — from tech design, to code generation, debugging, to code review and documentation * Strong product sense with a proven ability to build pixel-perfect interfaces and fluid animations  * Proven track record of leading technical initiatives and navigating ambiguous challenges * Strong cross-team collaboration skills with excellent English communication; experience working in globally distributed teams or building products for diverse markets is a plus   Your Location This position is China - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.