[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-2027-fresh-grad-hire-ai-algorithm-engineer-moomoo-de-global":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":10,"featured_until":7,"is_active":11,"deactivated_at":7,"is_enriched":11,"processed_job_posting_json":12,"processed_latitude":70,"processed_longitude":72,"processed_employment_types":74,"processed_working_hours":75,"processed_working_hours_labels":77,"processed_home_office":78,"processed_salary_min":7,"processed_salary_max":7,"processed_salary_currency":79,"processed_salary_source":80,"processed_benefits":81,"processed_benefits_labels":82,"processed_industry":83,"processed_skills":7,"processed_job_location":84,"processed_full_address_gmaps":87,"processed_street_gmaps":90,"processed_city_gmaps":91,"processed_postal_code_gmaps":92,"processed_country_gmaps":93,"processed_country_iso_code_gmaps":95,"full_description":15,"formatted_description":97,"processed_employment_types_labels":34,"processed_home_office_labels":32,"processed_industry_labels":36,"processed_it_skills":98,"processed_it_skills_labels":102,"processed_soft_skills":103,"processed_soft_skills_labels":104,"processed_job_expertise_skills":105,"processed_job_expertise_skills_labels":106,"processed_language_requirements":107,"processed_total_experience_years":116,"processed_professional_field":117,"processed_professional_field_labels":120,"processed_leadership_role":10,"processed_date_posted":18,"raw_job_url":121,"apply_url":7,"raw_hiringOrganization_logo_url":122,"translations":7,"canonical_industry_key":83,"canonical_industry_label":36,"max_cpc":123,"actual_cpc":7},89651,"2027-fresh-grad-hire-ai-algorithm-engineer-moomoo","2027 Fresh Grad Hire - AI Algorithm Engineer",null,{"name":9,"slug":9,"logo_url":7},"moomoo",false,true,{"@context":13,"@type":14,"title":6,"description":15,"hiringOrganization":16,"datePosted":18,"validThrough":19,"jobLocation":20,"jobLocationType":32,"employmentType":33,"industry":35,"skills":37},"https:\u002F\u002Fschema.org\u002F","JobPosting","About Us\nThe Futu AI team is dedicated to deeply applying artificial intelligence to financial investment and enterprise productivity scenarios. Our scope covers investment agents, intelligent search, recommendation, growth, financial analysis, AI customer service, AIGC, AI-native R&D tools, as well as a unified AI platform and infrastructure.\nYou will have the opportunity to participate in the intelligent upgrade of products such as Futubull and moomoo, and to contribute to the company-wide Agent platform and shared AI capabilities—enabling AI to directly improve users' investment experience, create business value, and boost organizational productivity.\nWhy This Role\nReal, core scenarios: Work on investment agents, intelligent search, personalized recommendation, financial analysis, and enterprise AI applications, where algorithm performance can be validated quickly in real business.\nFull technical stack: Cover model training and optimization, Agent\u002FRAG, search and recommendation, model evaluation, and AI platform capability building.\nTechnology and business in equal measure: Collaborate with product, operations, and engineering teams to translate cutting-edge technology into user experience and business results.\nMulti-directional growth: Based on your strengths, contribute to one or more areas such as large models, agents, search and recommendation, financial algorithms, or the AI platform.\nKey Responsibilities\nCore algorithm R&D and optimization: Participate in technical R&D in areas such as large language models, agents, RAG, multimodal, search and recommendation, and financial algorithms; carry out high-quality data construction, model training and post-training, evaluation analysis, and performance optimization.\nAI scenario implementation and business enablement: Drive the implementation of AI technology in scenarios such as investment agents, intelligent search, personalized recommendation, financial analysis, AI customer service, AIGC, and R&D efficiency improvement. Work with product, engineering, and quantitative teams to complete the full loop from requirements analysis and solution design to launch and validation.\nAI platform and capability accumulation: Participate in building the Agent platform, the Skill\u002FMCP ecosystem, knowledge bases, model services, and automated evaluation systems; drive the modularization, servitization, and large-scale reuse of algorithm capabilities.\nRequirements\nBachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Automation, Financial Engineering, or a related field.\nSolid foundation in machine learning and deep learning; understanding of the fundamental principles of Transformers, large language models, agents, or search and recommendation systems.\nProficient in Python; familiar with mainstream deep learning frameworks such as PyTorch; strong capabilities in data structures, algorithms, and engineering implementation.\nStrong problem analysis and experimentation skills; able to complete data analysis, solution design, model experimentation, and performance validation around practical goals.\nPassionate about AI technology and its real-world applications; keeps up with the latest progress in large models, agents, and AI engineering.\nStrong self-drive, learning ability, and communication and collaboration skills; able to read English technical materials.\nPreferred Qualifications\nProject or internship experience in large model training and optimization, agents, RAG, search and recommendation, multimodal, or financial algorithms.\nPapers published at top academic conferences, or outstanding results in algorithm, programming, mathematics, or data science competitions.\nContributions to high-quality open-source projects, or familiarity with technologies such as model post-training, reinforcement learning, retrieval optimization, inference acceleration, and model evaluation.\nStrong interest in financial markets such as stocks and options; experience in quantitative research, fintech projects, or AI product implementation.\nFluent English & Chinese listening and speaking skills; ability to conduct work meetings, cross-team collaboration, and technical communication in English.\n*Open to candidates graduating between January 2026 and August 2027.",{"@type":17,"name":9},"Organization","2026-10-28","2027-10-28",[21],{"@type":22,"address":23,"geo":28},"Place",{"@type":24,"addressLocality":25,"addressCountry":26,"addressRegion":27},"PostalAddress","Shenzhen","HK","Guangdong",{"@type":29,"latitude":30,"longitude":31},"GeoCoordinates",22.3193039,114.1693611,"ONSITE",[34],"PERMANENT",[36],"Financial Technology",[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69],"Python","PyTorch","Machine Learning","Deep Learning","Transformers","Large Language Models","Agents","RAG","Search and Recommendation Systems","Multimodal","Reinforcement Learning","Data Structures","Algorithms","Problem Analysis","Experimentation","Self-Drive","Learning Ability","Communication","Collaboration","Financial Algorithms","Quantitative Research","Fintech Projects","AI Product Implementation","Model Training","Model Post-training","Model Evaluation","Performance Optimization","Data Construction","Solution Design","AI Platform Building","Knowledge Bases","Automated Evaluation Systems",[30,71],22.5428599,[31,73],114.05956,"permanent",[76],"FULL_TIME",[76],"onsite","HKD","original",[],[],"financial technology",[85,86],"moomoo, hong kong, hong kong","moomoo, shenzhen, china",[88,89],"Hongkong","Shenzhen, Guangdong, China",[],[25],[],[88,94],"China",[26,96],"CN","## About Us\nThe Futu AI team is dedicated to deeply applying artificial intelligence to financial investment and enterprise productivity scenarios. Our scope covers investment agents, intelligent search, recommendation, growth, financial analysis, AI customer service, AIGC, AI-native R&D tools, as well as a unified AI platform and infrastructure.\n\nYou will have the opportunity to participate in the intelligent upgrade of products such as Futubull and moomoo, and to contribute to the company-wide Agent platform and shared AI capabilities—enabling AI to directly improve users' investment experience, create business value, and boost organizational productivity.\n\n## Why This Role\n- **Real, core scenarios:** Work on investment agents, intelligent search, personalized recommendation, financial analysis, and enterprise AI applications, where algorithm performance can be validated quickly in real business.\n- **Full technical stack:** Cover model training and optimization, Agent\u002FRAG, search and recommendation, model evaluation, and AI platform capability building.\n- **Technology and business in equal measure:** Collaborate with product, operations, and engineering teams to translate cutting-edge technology into user experience and business results.\n- **Multi-directional growth:** Based on your strengths, contribute to one or more areas such as large models, agents, search and recommendation, financial algorithms, or the AI platform.\n\n## Key Responsibilities\n- **Core algorithm R&D and optimization:** Participate in technical R&D in areas such as large language models, agents, RAG, multimodal, search and recommendation, and financial algorithms; carry out high-quality data construction, model training and post-training, evaluation analysis, and performance optimization.\n- **AI scenario implementation and business enablement:** Drive the implementation of AI technology in scenarios such as investment agents, intelligent search, personalized recommendation, financial analysis, AI customer service, AIGC, and R&D efficiency improvement. 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