Staff Machine Learning Engineer, Customer Support Engineering

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. Important to read before submit application: This role must be physically based in China.   The Community You Will Join: Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. Community Support Engineering 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 a member of CSP in China, you will have a great opportunity to make lasting impacts on the Airbnb CS user experience.   The Difference You Will Make: We are seeking a highly skilled and motivated engineer who is passionate about making a difference through their work. As a Staff Software Engineer, you will be the technical lead in a team of talented and diverse software engineers leading the project execution to improve Airbnb customers and agents experience. You will lead the team and work with global technical leaders to build and evolute CS engineering foundations, such as Routing, Data platform, Case management, foundational toolings etc   A Typical Day:  * Collaborating with cross-functional partners to deeply understand business problems before developing project solutions. * Leading the execution of projects across the full software development lifecycle, including technical design, implementation, testing, and deployment, ensuring solutions are high-quality, scalable, and performant;  * Driving productive and constructive technical discussions with peers and cross-team technical leaders in the global collaborative working environment, to ensure alignments with technical strategies across CS products and capabilities. * Tackling highly complex technical challenges, proactively identifying and mitigating potential risks during project execution. * Writing exemplary and high-quality codes and design documents that set the standard for the team. * Advocating for and embedding engineering best practices within the team, ensuring a culture of technical excellence. * Actively coaching and mentoring engineers across the CSP China team to foster growth and elevate technical capabilities. * Supporting team growth by participating in recruiting efforts and conducting interviews. * Promoting and exemplifying an engineering culture with inclusiveness, effective communication, and quality.  * Being a collaborative and supportive teammate who inspires and elevates the entire engineering organization.   Your Expertise: * 9+ years of software development experience. * Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python); experience with modern front-end frameworks (e.g., React, Angular, Vue.js) are preferred but not a must. * Proven track record of delivering end-to-end products in a collaborative environment globally. * Experience with architectural patterns of large-scale web applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms. * Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners. * Passion for creating intuitive user experiences and a keen interest in data systems and analytics. * Bachelor's degree in Computer Science or related field, or equivalent practical experience. * Fluent in both English and Chinese.   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.   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.

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. The Community You Will Join: The Global Markets Tech team drives the evolution of our guest and host experience across international markets through product innovation that accelerates international growth. Expanding in under-penetrated markets is a core pillar of our company strategy. To achieve this, we innovate at every level - adapting our  product to the unique needs of every corner of the globe so that every user across our 220+ countries and regions feels right at home. The team partners closely with Product, Design, Data Science, regional stakeholders, and core platform/vertical teams to translate local market needs into durable, scalable technology that can be piloted quickly and then rolled out broadly.   The Difference You Will Make: We are looking for a product-minded Staff Software Engineer (Backend) to lead the technical strategy and drive innovative initiatives for Airbnb’s international guest experiences. At Staff level, you will set a technical vision and drive execution of solutions that are highly available, secure, efficient, and designed to scale across many markets with the needs of the international business. You will work across product, engineering, data scientists, designer and cross-functional partners to solve these technical challenges and deliver high-quality products for Airbnb.   A Typical Day * Own technical vision and lead effort to architecture, prototype, build and launch solutions for international markets initiatives (market configuration, localization services, partner integrations, compliance-aware experiences, etc). * Lead complex, cross-team execution from design through launch, including team roadmap, technical direction, migration plans, rollout strategy, and long-term operability. * Drive engineering excellence through reliability, performance, security, and cost efficiency. * Influence roadmaps and collaborate with stakeholders across regions, such as drives alignment, resolves tradeoffs, leads through ambiguity. * Mentor engineers both within and outside of the team.   Your Expertise * Fluency in English is required. Japanese or Korean working proficiency is a plus . * 9+ years of professional software engineering experience, including Tech Lead responsibilities (required). * Proven track record leading end-to-end delivery of high-impact, user-facing products—from technical design and implementation through launch and post-launch operations. * Demonstrated ability to set technical direction for a team or multi-team area (e.g., defining architecture, establishing engineering standards, and shaping a long-term technical roadmap). * Strong product mindset: you connect technical decisions to customer outcomes and business impact, and you’re comfortable operating in ambiguity with an iterative, experiment-driven approach. * Expertise designing and operating systems that are highly available, scalable, secure, and cost-efficient, with clear operational readiness. * Strong experience working in cross-functional, global environments, driving alignment and results through influence across teams and time zones. * Demonstrated ability to mentor and develop engineers, raise the quality bar through reviews and coaching, and establish and drive best practices.