AI 高级软件工程师 AI Senior Software Engineer (Remote)

工作方式：远程办公（中国境内不限城市，自由办公）构建让金融更简单、更智能、更普惠的 AI 系统在 BJAK，我们正在利用人工智能，让数百万东南亚用户更容易获取、理解和承担保险及金融服务的费用。作为一名高级 AI/机器学习软件工程师，你将参与构建支撑这一使命的智能系统 - 从个性化推荐、欺诈检测到流程自动化与智能搜索。本岗位为远程工作，需常驻中国，并与位于马来西亚总部及东南亚区域团队紧密协作。你将加入一个高效、扁平的工程团队，在这里，你的执行力与创意每天都将转化为现实成果。为什么这个岗位至关重要你的工作将直接提升用户体验、系统效率与平台智能水平你将参与构建面向数百万用户的高可用 AI 系统与产品、数据和工程团队跨职能合作，从零开发可扩展的 ML 工具在精干高效的工程环境中快速成长你将负责的工作与产品、数据及工程团队协作，定义机器学习目标与技术战略设计、构建并部署支持个性化推荐、自动化处理与洞察生成的 ML 模型全流程管理机器学习生命周期：数据预处理、特征工程、模型训练、评估与部署构建可扩展的机器学习基础设施与部署流水线将 ML 模型结果整合至前端产品及后台系统紧跟 AI/ML 技术发展，并将前沿成果应用到我们的技术栈中参与调试、测试与优化生产环境下的机器学习系统如果你具备以下特质，你会在这里如鱼得水：敢于全权负责 - 不仅开发模型，还推动其在现实中落地生效主动学习，快速上手 - 即便没有说明书或前人经验，也能自己摸索并推动项目前进行动迅速 - 能够适应快节奏环境，快速迭代并持续优化问题导向 - 从混乱数据到系统上线，愿意负责每一个环节团队协作意识强 - 谦逊、乐于助人，并能激励身边的伙伴能在混乱中保持专注 - 不被创业节奏、优先级变化或不确定性影响热爱学习、乐于分享 - 快速成长的同时，也帮助他人共同进步任职要求计算机科学、数据科学、工程或相关技术领域的本科及以上学历2-4 年机器学习或后端软件开发相关经验精通 Python，熟悉 TensorFlow、PyTorch 或 Scikit-learn 等框架扎实的 ML 基础，包括：数据清洗、模型开发、参数调优、性能评估熟悉模型部署、API 开发或现实业务场景中的 ML 集成使用过 Google Colab、Jupyter Notebook、或云端机器学习平台拥有良好的分析能力、问题解决能力与沟通能力需常驻中国，并愿意远程协作（跨时区）加分项有自然语言处理（NLP）、计算机视觉或推荐系统的相关经验熟悉 AWS、GCP、Azure 等云平台服务熟悉 Docker、Git、CI/CD 工具链有在高速发展型初创公司或敏捷产品环境工作的背景你将获得：具有竞争力的薪资与绩效奖金灵活远程工作安排（不限中国城市）你的代码将直接影响数百万亚洲用户扁平管理结构，你的声音会被听见，你的贡献被看见快速成长的个人与技术发展机会与东南亚地区团队跨国合作的视野与经验关于 BJAKBJAK 是东南亚最大的数字保险平台，帮助数百万用户以更低门槛获得透明、可信的金融保障。总部位于马来西亚，并在泰国、台湾、日本设有业务运营。我们通过 AI、自动化与智能 API 简化金融服务流程。我们正致力于打造下一代智能系统，让金融服务变得更好、更快、更公平。如果你热衷于构建能真正解决现实问题、具备大规模落地能力的机器学习系统，并渴望在一个使命驱动、高影响力的团队中成长 - 我们非常期待你的加入！------------------------------------------------------------------------------------- Working arrangement: China (Remote - work from anywhere in China)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in China, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field2 - 4 years of experience in machine learning or backend software developmentStrong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in China and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in ChinaDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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