Top Machine Learning Engineer Jobs Openings in 2025

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언어 모델을 현실 세계의 애플리케이션으로 전환하기우리는 전 세계 사용자를 위한 AI 시스템을 구축하고 있습니다. 지금은 AI 전환의 시대이며, 이 새로운 프로젝트 팀은 현실 세계에서 더 큰 영향력과 글로벌 활용성을 실현하는 애플리케이션 개발에 집중하고 있습니다.이 포지션은 글로벌 역할이며, 유연한 원격 근무와 본사 오피스 협업을 결합한 하이브리드 근무 방식을 채택합니다. 제품, 엔지니어링, 운영, 인프라, 데이터 등 각 지역 팀과 긴밀히 협력하여 영향력 있는 AI 솔루션을 개발하고 확장하게 됩니다.이 역할이 중요한 이유최신 모델을 파인튜닝하고, 평가 프레임워크를 설계하며, AI 기능을 실제 서비스 환경에 도입합니다. 당신의 업무는 모델이 단순히 지능적일 뿐만 아니라, 안전하고 신뢰할 수 있으며, 대규모 환경에서 효과적으로 작동하도록 보장합니다.주요 업무파인튜닝 및 최적화 —— LoRA/QLoRA를 사용하여 LLaMA, Mistral, Gemma 등 오픈소스 모델 최적화프롬프트 엔지니어링 및 데이터 설계 —— 브랜드 보이스, 톤, 안전성을 반영하는 프롬프트와 데이터셋 제작모델 평가 —— Perplexity, Toxicity, Relevance 등의 지표 파이프라인을 구축해 안전하고 고품질의 출력 보장배포 및 모니터링 —— 모델을 프로덕션 환경에 스케일링하고 성능 최적화 및 드리프트 모니터링 수행협업 및 제공 —— 제품, 엔지니어링, 디자인 팀과 협력하여 사용자 지향적인 AI 기능 출시이런 분을 찾습니다주도성과 독립성을 중시하는 분“명확함은 실행에서 나온다”는 믿음을 가지고, 완벽한 계획을 기다리기보다 프로토타입·테스트·반복을 통해 실행하는 분스타트업 환경의 혼란 속에서도 침착하고 효과적으로 일할 수 있는 분 —— 우선순위 변화나 제로 베이스 구축도 두려워하지 않는 분속도 지향적으로, 완벽한 결과보다 지금 가치 있는 무언가를 전달하는 것을 중요하게 여기는 분피드백과 실패를 성장의 일부로 보고, 지속적으로 실력을 발전시키려는 분겸손함, 배움에 대한 열정, 실행력을 가지고 있으며, 동료들과 함께 성장하는 분자격 요건Transformers, 딥러닝, 파인튜닝 기법(LoRA/QLoRA, SFT, 지식 증류 등)에 대한 풍부한 경험PyTorch 숙련 (우대) 또는 TensorFlow 경험프롬프트 엔지니어링 및 데이터셋 설계 능력 (톤, 안전성, 신뢰성과 일치)평가 지표(Perplexity, Toxicity, Relevance)에 대한 이해알고리즘, 자료구조, 클린 코드 등 소프트웨어 엔지니어링 기초에 대한 탄탄한 기반우대 사항텍스트 생성, 콘텐츠 모더레이션, 개인화 관련 경험RLHF(인간 피드백 강화학습) 또는 LLM 강화학습 경험오픈소스 머신러닝 프로젝트 기여 경험혜택 및 보상수평적 조직 구조와 진정한 오너십제품 방향성과 합의 기반 의사결정에 전면적으로 참여유연한 근무 형태제품, 데이터, 엔지니어링 전반에 걸쳐 높은 영향력을 가지는 역할업계 최고 수준의 보상 및 성과 기반 보너스글로벌 제품 개발에 참여할 기회다양한 복지 —— 주택 임대 보조, 우수한 회사 구내식당, 야근 식사 제공건강, 치과, 안과 보험본인 및 가족을 위한 글로벌 여행 보험무제한·유연한 휴가 제도팀과 문화우리는 고밀도·고성과 팀으로, 고품질의 업무와 글로벌 임팩트에 집중합니다. 우리는 주인의식으로 행동하며, 속도, 명확함, 끊임없는 책임감을 중시합니다. 성장 욕구가 크고, 탁월함을 진심으로 추구하는 분이라면 함께 하기를 기대합니다.회사 소개: BJAKBJAK은 동남아시아 최대의 보험 비교 플랫폼으로, 800만 명 이상의 사용자를 보유하고 있으며, 직원이 100% 지분을 소유한 회사입니다. 본사는 말레이시아에 있으며, 태국, 대만, 일본에서도 운영되고 있습니다.우리는 Bjak.com을 통해 수백만 명의 사용자에게 투명하고 합리적인 금융 보호를 제공합니다. 또한, API, 자동화, AI 등 최첨단 기술을 활용해 복잡한 금융 상품을 단순화하고, 차세대 지능형 금융 시스템을 구축하고 있습니다.현실 세계에 영향을 미치는 AI 시스템을 구축하고, 임팩트 있는 환경에서 빠르게 성장하고 싶다면, 지금 바로 지원하세요!---------------------------------------------------------------Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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Transform Language Models into Real-World ApplicationsAt Bjak, we’re building AI systems that reach millions across Southeast Asia. Our Machine Learning team is at the forefront of text generation, captioning, moderation, and chat-like interactions, deploying LLMs into real-world products that must be fast, safe, and aligned with our brand voice. This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.Why This Role MattersWe are scaling LLM capabilities that power how people interact with financial services. As a Machine Learning Engineer (LLM), you’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & Adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) for Bjak’s applications.Engineer Prompts & Curate Data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate Models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & Monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & Deliver – Partner with product, engineering, and design teams to launch user-facing AI features.You’ll Thrive Here If You...Treat every problem as your own, regardless of scope or title.Enjoy switching hats - builder, debugger, architect, and product thinker when needed.Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Believe “done” beats “perfect,” but still care deeply about UX and code quality.Show up with humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices. Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetCompetitive salary and performance-based bonusesFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringFlat structure - your work is seen, your ideas are heardFast learning curve and accelerated growth in a mission-driven companyCross-border exposure to regional product developmentOur Team & CultureWe’re a lean, high-performance team that moves fast and holds a high bar. Titles don’t matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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Transform Visual Models into Real-World ApplicationsAt Bjak, we’re building AI systems that reach millions across Southeast Asia. Our Machine Learning team is pushing the frontier of image generation, personalization, and safe deployment of diffusion models. From powering creative assets to enabling user-facing visual tools, we make diffusion models fast, scalable, and aligned with our product vision. This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, and design to bring cutting-edge generative vision features to market.Why This Role MattersWe are scaling generative vision capabilities that reshape how people experience financial and consumer products. As a Machine Learning Engineer (Diffusion / Vision), you’ll fine-tune diffusion models, design evaluation frameworks, and deploy AI features into production. Your work ensures our image systems are creative, safe, and optimized for real-world impact.What You’ll DoFine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.You’ll Thrive Here If You…Treat every challenge as your own, regardless of title.Enjoy switching between researcher, engineer, and product thinker.Prototype fast - test, iterate, and improve without waiting for perfect conditions.Stay calm and effective in startup chaos.Bias for speed - believe something valuable now beats perfect later.Learn fast from feedback and failure.Care deeply about both user experience and technical excellence.Show up with humility, hunger, and hustle.RequirementsStrong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.).Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods.Proficiency with PyTorch (preferred).Experience in dataset preparation (captioning, tagging, filtering, augmentation).Knowledge of GPU optimization, latent diffusion, and efficient training techniques.Strong foundations in software engineering, algorithms, and clean code practices.Nice to HavePrior work in style transfer, personalization, or multimodal generation.Experience with safety alignment in generative vision (NSFW detection, adversarial testing).Open-source contributions in diffusion or generative vision projects.What You’ll GetCompetitive salary and performance-based bonusesFlexible work arrangementHigh-impact role with visibility across product, design, and engineeringFlat structure - your work is seen, your ideas are heardAccelerated learning and growth in a mission-driven companyCross-border exposure to regional product developmentOur Team & CultureWe’re a lean, high-performance team that moves fast and holds a high bar. Titles don’t matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless execution. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to transform how millions of people across Southeast Asia access, understand, and afford insurance and financial services. As an Software Engineer Intern, you’ll help architect and build intelligent systems - from fraud detection and personalized recommendations to smart automation and search - that power this mission.This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our Kuala Lumpur HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.RequirementsBachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or related fields with strong fundamentals in algorithms, data structures, and mathematics (linear algebra, probability, and statistics).Passionate about AI, machine learning, and problem-solving.Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.Knowledge of machine learning concepts, including supervised/unsupervised learning, model training, and evaluation.Familiar with data preprocessing, feature engineering, and model optimization.Understanding of API integration for deploying AI/ML models (e.g., FastAPI, Flask, or similar).Basic knowledge in data visualization tools (e.g., Matplotlib, Seaborn, Plotly) and SQL or NoSQL databases.Bonus: Experience with NLP, computer vision, reinforcement learning, or AI workflow automation. ResponsibilitiesApply your knowledge and experience in a real business setting in a tech startupBe part of challenging assignments and internal projectsAssist in any technical related matterPerform other related functions that may be assigned by your managerResponsible for ad-hoc assignment, function and other related duties specified by your managerBenefitsDo something meaningful; Be a part of the future of finance technology and the no.1 company in the industry!Fast moving, challenging and unique business problemsInternational work environment and flat organizationGreat career development opportunities in a growing companyTeam culture - highly practical and results orientedFlexible working hours & arrangementCasual work attireHybrid working arrangementOur Team & CultureWe’re a lean, high-performance team that moves fast and holds a high bar. Titles don’t matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative.We reward people who think like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.About BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve real, high-impact problems - from fraud detection and risk modeling to smart, personalized user experiences that make insurance and financial services more inclusive and accessible. As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region. This is a hybrid role based in Malaysia, combining deep technical expertise with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.Why This Role MattersYou’ll build and deploy core AI systems that impact real users across Southeast Asia.You’ll act as the right hand to the Head of AI, influencing roadmap, execution, and technical standards.You’ll help shape and grow a world-class AI team through mentorship and hiring.You’ll raise the bar on technical quality, delivery speed, and scalable architecture.What You’ll DoDesign, train, and deploy production-grade ML models for business-critical use cases.Collaborate closely with product, data, and engineering teams to define and execute AI solutions.Lead technical decision-making on model design, deployment pipelines, and infrastructure.Own the full model lifecycle - from data prep and training to evaluation, monitoring, and retraining.Guide junior AI engineers through code reviews, project planning, and mentorshipDrive the hiring process: screen candidates, evaluate technical fit, and onboard top talent.Champion best practices in experimentation, model development, and production of AIStay ahead of the curve - evaluate new tools, frameworks, and advancements in AI.You’ll Thrive Here If You...Are both a builder and a leader - you roll up your sleeves and raise the bar for others.Care deeply about real-world impact - you think beyond accuracy to user outcomes.Take ownership and bring structure to ambiguity with action, not over-analysisEnjoy developing others - helping junior teammates grow is part of your successThrive in a high-speed, high-trust startup culture where priorities shift and execution mattersEmbrace learning, feedback, and iteration as integral components of your engineering process.Communicate clearly - you can align cross-functional teams on complex AI systems.RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field4–6 years of experience in AI/ML engineering, with models deployed in productionStrong Python skills and deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)Solid understanding of ML lifecycles - from data pipelines and feature engineering to tuning, deployment, and monitoringReal-world experience building AI systems in domains like recommendation, NLP, or risk modelingExperience mentoring junior engineers and collaborating cross-functionallyStrong written and verbal communication skillsBased in Malaysia and open to hybrid work from our Petaling Jaya HQNice to HaveFamiliarity with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)Experience in responsible AI practices - fairness, explainability, and transparencyStartup background or experience in fast-moving product teamsBuilt internal AI tools, reusable components, or ML platformsWhat You’ll GetCompetitive salary and performance-based bonusesHybrid flexibility - a mix of remote work and in-office collaboration at HQHigh ownership and direct impact - report to the Head of AI and drive mission-critical projects.Clear path for fast career growth as the company expands across ASEANOpportunity to shape and lead a growing AI teamRegional product exposure and cross-border collaborationAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, enabling millions of users to access transparent and affordable financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, faster, and fairer. If you’re ready to build, lead, and scale AI systems that truly matter — and want to grow with a company that moves fast and thinks big — we’d love to hear from you.

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📍 Working Arrangement: Malaysia (Hybrid)Help Build AI That Powers the Future of Financial Access in Southeast AsiaAt BJAK, we’re leveraging AI to tackle meaningful challenges — from fraud detection and risk modeling to delivering hyper-personalized financial services that make insurance more accessible to everyone.We’re looking for a talented AI Engineer based in Malaysia to join our growing AI team. In this role, you'll work closely with our Head of AI and a team of skilled engineers to design and build next-generation intelligent systems that serve millions of users across the region.Why This Role MattersYou’ll contribute directly to AI systems that have real-world impact on millions of users.You’ll work alongside a fast-moving team solving complex engineering and product challenges.You’ll gain hands-on experience building and deploying machine learning models in production.You’ll be part of a mission-driven company using AI to democratize access to financial services.What You’ll DoBuild and ship production-grade machine learning models for high-impact use casesContribute to model architecture, data pipeline design, and deployment strategiesCollaborate across engineering, data, and product teams to drive AI initiativesSupport the full ML lifecycle — from data pre processing and model training to monitoring in productionWrite clean, scalable, and well-documented codeStay up to date with the latest developments in AI/ML, and contribute ideas to improve our systems and workflowsParticipate in code reviews and technical discussions with peersYou’ll Thrive Here If You…Enjoy solving real-world problems using practical AI solutionsLike working hands-on with code and delivering models that go into productionValue collaboration and learning from others across different functionsTake ownership of your work and follow through with high-quality deliveryAdapt quickly in a fast-paced, remote-first environmentWant to be part of a team where your work directly contributes to regional impactRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field3–6 years of experience in AI/ML engineering with real-world deployment experienceProficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnSolid understanding of machine learning workflows, from data preprocessing to model evaluationExperience working on applied AI use cases (e.g., recommendation systems, fraud detection, risk scoring, NLP, etc.)Strong problem-solving skills and attention to detailComfortable working hybrid and collaborating with regional teamsBased in Malaysia, with the ability to work in a hybrid setup from PJ HQNice to HaveExperience with MLOps tools like MLflow, Airflow, Docker, or cloud platforms (e.g., GCP, AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Experience working in a startup or scale-up environmentInterest in building reusable ML components or internal toolsWhat You’ll GetCompetitive salary and performance-based bonusesHybrid work flexibility: remote work plus in-person collaboration at our HQOpportunity to work on AI projects that make a regional impactDirect mentorship from experienced AI leadersFast career growth in a dynamic, high-speed environmentOpen, collaborative team culture that values great ideas and executionAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent and affordable financial products. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services simple, fast, and fair.Join us in shaping the future of financial access in Asia — with technology that moves fast and solves real needs.

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📍 勤務形態：日本（リモート勤務 - 日本全国どこからでも勤務可能）東南アジアにおける金融アクセスの未来を支えるAIを共に創ろうBJAKでは、詐欺検出、リスクモデリング、超パーソナライズされた金融体験まで、実社会の課題を解決するためにAIを活用しています。保険や金融サービスをより多くの人に届けるためのインテリジェントシステムの構築・拡張を担う、**日本拠点のLead AI Engineer（リードAIエンジニア）**を募集しています。本ポジションは、AI責任者直下のテクニカルリーダーシップポジションであり、戦略の策定からチームの育成、プロダクションコードの実装まで幅広く担っていただきます。このポジションが重要な理由地域全体で数百万人に提供される中核的なAIシステムの設計・展開を主導AI責任者の右腕として技術的な意思決定と標準化を推進若手エンジニアの育成とチーム全体のスキルアップに貢献高い成果を生み出すAIエンジニアチームの採用・拡張にも深く関与主な業務内容実運用レベルの高影響AI/MLモデルの設計・構築・リリースモデルアーキテクチャ、データパイプライン、デプロイ戦略の主導プロダクト、データ、エンジニアリングチームと連携しAI戦略を推進データ準備からデプロイ・モニタリングまでMLライフサイクルを一貫して管理コードレビュー、技術支援、メンタリングによるチームサポート実験文化、継続学習、AIベストプラクティスの推進採用面接・評価などの人材採用活動への貢献最新ML技術のキャッチアップと本番環境への適用このような方が活躍できますコードにも積極的に関わりつつ、他者を支えるリーダータイプ自ら課題を見つけて主体的に解決に取り組める方スピード感と深い技術理解を両立できる方カオスや不確実性の中でも構造化・意思決定・推進ができる方現実の課題解決を重視し、学術的な成果にとどまらない方技術だけでなく人の成長にも情熱を注げる方優先順位が変わる中でも柔軟に対応できる方試作と改善のサイクルに強く、手を動かして創るのが好きな方自分自身のスキル・視座・リーダーシップを継続的に高めたい方応募資格コンピューターサイエンス、エンジニアリング、または関連分野の学士号または修士号Pythonに強い熟練度が必須ですAI/MLエンジニアリングでの実務経験4～6年（実運用への展開経験を含む）Pythonスキル、TensorFlow、PyTorch、Scikit-learn等のフレームワークに精通データパイプラインからモデル学習、バリデーション、監視までのMLライフサイクルに関する知識レコメンド、詐欺検出、リスク分析、自然言語処理などの応用AI領域での実績エンジニアチームの技術的リード・メンタリングの経験優れたコミュニケーション能力とコラボレーションスキル日本に居住し、地域チームとリモートで協働できること歓迎スキルMLflow、Airflow、Docker、GCP/AWSなどのMLOpsツール経験公平性、解釈性、モデルガバナンスなど責任あるAIに関する知識スタートアップやスケールアップ環境での実務経験内部ツール、再利用可能なMLコンポーネント、AIプラットフォームの構築経験待遇・福利厚生競争力のある給与と成果に応じたボーナス日本国内どこからでも働ける完全リモート勤務・柔軟な働き方地域スケールで影響力を持つ高い裁量のポジションAI責任者直下でのリーダーシップ経験と経営層との接点拡大中のAIチームの中核として活躍・育成に携われるチャンス高速な開発環境での急成長と学習の機会意見が素早く反映され、成果が評価されるフラットな文化BJAKについてBJAKは、東南アジア最大のデジタル保険プラットフォームです。マレーシアに本社を構え、タイ・台湾・日本を含む地域で、数百万人のユーザーに手頃で透明性のある金融保障を提供しています。AI、自動化、スマートAPIを駆使して、複雑な金融サービスをより迅速に、誰もが利用できる形に変革しています。パーソナライズ価格エンジンから詐欺検出まで、私たちは"実際に役立つ"テクノロジーを信じています。-----------------------------------------------------------------------------------📍 Working Arrangement: Japan (Remote - work from anywhere in Japan)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Japan to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front - you’re hands-on in code, but always lifting othersThink like an owner - you don’t wait for permission to solve a problemOperate at speed and depth - you make fast, sound decisions that balance trade-offsPush for clarity - even in chaos, you bring structure, direction, and accountabilityCare about what ships - you focus on solving real-world problems, not just academic onesGrow the team, not just the tech - you enjoy mentoring, coaching, and seeing others winAdapt fast - priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset - fast prototypes, strong opinions, and a hunger to iterateKeep learning - you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Japan and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in JapanHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs - from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters - and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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言語モデルを現実のアプリケーションへ変革する私たちはグローバルなユーザーを対象とした AI システムを構築しています。現在は AI トランジションの時代にあり、この新しいプロジェクトチームは、現実世界への影響力を拡大し、世界中で最大限に活用されるアプリケーションの構築に注力します。このポジションはグローバルな役割であり、柔軟なリモートワークと本社での対面コラボレーションを組み合わせたハイブリッド勤務を採用しています。製品、エンジニアリング、オペレーション、インフラ、データの各地域チームと緊密に連携し、影響力のある AI ソリューションを構築・拡張します。この役割が重要な理由最先端のモデルをファインチューニングし、評価フレームワークを設計し、AI 機能を本番環境に投入します。あなたの仕事は、モデルがインテリジェントであるだけでなく、安全で信頼でき、大規模に影響力を持つことを保証します。主な業務内容ファインチューニングと最適化 —— LoRA/QLoRA を使用し、LLaMA、Mistral、Gemma などのオープンソースモデルを最適化プロンプト設計とデータ構築 —— ブランドの声やトーン、安全性を反映したプロンプトやデータセットを設計モデル評価 —— Perplexity、Toxicity、関連性などの指標パイプラインを構築し、安全で高品質な出力を確保デプロイとモニタリング —— モデルを本番環境にスケールさせ、パフォーマンス最適化とドリフト監視を実施コラボレーションと提供 —— プロダクト、エンジニアリング、デザインチームと連携し、ユーザー向け AI 機能をリリース求める人物像主体性と独立性を好む方「行動から明確さが生まれる」と信じ、完璧な計画を待たずにプロトタイプ・テスト・反復を行える方スタートアップの混乱の中でも冷静かつ効果的に対応できる方 —— 優先順位の変化やゼロからの構築を恐れないスピードを重視し、完璧を待つよりも「今すぐ価値ある成果」を届けることを優先できる方フィードバックや失敗を成長の一部と捉え、常にレベルアップを目指せる方謙虚さ、向上心、行動力を持ち、仲間を助けながら進める方応募資格Transformers、ディープラーニング、ファインチューニング手法（LoRA/QLoRA、SFT、蒸留）に関する豊富な経験PyTorch（優先）または TensorFlow に精通プロンプトエンジニアリングやデータセット構築に熟練し、トーン・安全性・信頼性に合致させられるスキル評価指標（Perplexity、Toxicity、関連性）に精通ソフトウェアエンジニアリングの基礎（アルゴリズム、データ構造、クリーンコード実践）に強みあれば望ましい経験テキスト生成、モデレーション、パーソナライゼーションの経験RLHF や LLM における強化学習の経験オープンソース機械学習プロジェクトへの貢献経験待遇・福利厚生フラットな組織構造と本当のオーナーシッププロダクト方向性や意思決定への全面的な関与柔軟な勤務形態プロダクト・データ・エンジニアリングを横断する高インパクトな役割市場最高水準の給与と成果に基づくボーナスグローバルなプロダクト開発への参画機会充実した福利厚生 —— 住宅補助、高品質な社員食堂、残業食事補助健康・歯科・眼科保険グローバル旅行保険（本人および扶養家族対象）無制限で柔軟な有給休暇制度チームと文化私たちは高密度・高パフォーマンスのチームであり、高品質な仕事とグローバルインパクトに注力しています。オーナーのように行動し、スピード、明確さ、徹底的な責任感を重視します。成長意欲があり、卓越性を大切にする方を歓迎します。会社概要：BJAKBJAK は東南アジア最大の保険アグリゲーターで、800 万人以上のユーザーを持ち、社員が完全に所有する企業です。本社はマレーシアにあり、タイ、台湾、日本でも事業を展開しています。Bjak.com を通じて、数百万人のユーザーに透明性が高く、手頃な金融保障を提供しています。また、API、自動化、AI などの先端技術を駆使し、複雑な金融商品をシンプルにし、次世代のインテリジェントな金融システムを構築しています。現実世界にインパクトを与える AI システムを構築し、高インパクトな環境で急速に成長したい方、ぜひご応募ください。---------------------------------------------------------------Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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覚モデルを現実のアプリケーションへ変革する私たちはグローバルなユーザーを対象とした AI システムを構築しています。現在は AI トランジションの時代にあり、この新しいプロジェクトチームは、現実世界への影響力を拡大し、世界中で最大限に活用されるアプリケーションの構築に注力します。このポジションはグローバルな役割であり、柔軟なリモートワークと本社での対面コラボレーションを組み合わせたハイブリッド勤務を採用しています。製品、エンジニアリング、オペレーション、インフラ、データの各地域チームと緊密に連携し、影響力のある AI ソリューションを構築・拡張します。この役割が重要な理由最先端のモデルをファインチューニングし、評価フレームワークを設計し、AI 機能を本番環境に投入します。あなたの仕事は、モデルがインテリジェントであるだけでなく、安全で信頼でき、大規模に影響力を持つことを保証します。主な業務内容ファインチューニング & 適応 —— LoRA、DreamBooth、その他のパラメータ効率的手法を用いて拡散モデル（SDXL、Flux、Stable Diffusion 系列）をトレーニング・カスタマイズするデータセットの作成 —— 大規模画像データセットを構築、クリーニング、アノテーション（キャプション付け、タグ付け、NSFW フィルタリングなど）し、安全で適切な生成を実現する評価とアラインメント —— 忠実性、多様性、スタイル遵守、安全性を測定するパイプラインを開発する性能最適化 —— GPU メモリ最適化、潜在拡散の工夫、分散学習を活用し効率的にスケーリングするデプロイとモニタリング —— 拡散モデルを用いた機能を本番環境に投入し、ドリフト、レイテンシ、品質を監視する協働と提供 —— プロダクトやデザインチームと連携し、生成ビジョン機能をユーザー体験に統合する求める人物像主体性と独立性を好む方「行動から明確さが生まれる」と信じ、完璧な計画を待つのではなくプロトタイプ・テスト・反復を実行できる方スタートアップ特有の混乱下でも冷静かつ効果的に行動できる方 —— 優先順位の変化やゼロからの構築を恐れないスピードを重視し、完璧を待つよりも「今すぐ価値ある成果」を届けることを優先できる方フィードバックや失敗を成長の一部と捉え、常にレベルアップを目指せる方謙虚さ、向上心、行動力を持ち、仲間を助けながら進める方応募資格拡散モデルおよび生成ビジョン（Stable Diffusion、SDXL、Flux 等）に関する豊富な経験DreamBooth、LoRA/QLoRA、その他のファインチューニング手法に関する実務スキルPyTorch に精通（優先）データセット準備経験（キャプション付け、タグ付け、フィルタリング、データ拡張など）GPU 最適化、潜在拡散、効率的な学習技術に関する知識ソフトウェアエンジニアリング、アルゴリズム、クリーンコード実践に関する基礎あれば望ましい経験スタイル転送、パーソナライゼーション、多モーダル生成の経験生成ビジョンの安全性アラインメント経験（NSFW 検出、敵対的テストなど）拡散モデルや生成ビジョン関連のオープンソースプロジェクトへの貢献経験待遇・福利厚生フラットな組織構造と本当のオーナーシッププロダクト方向性や意思決定への全面的な関与柔軟な勤務形態プロダクト・データ・エンジニアリングを横断する高インパクトな役割市場最高水準の給与と成果に基づくボーナスグローバルなプロダクト開発への参画機会充実した福利厚生 —— 住宅補助、高品質な社員食堂、残業食事補助健康・歯科・眼科保険グローバル旅行保険（本人および扶養家族対象）無制限で柔軟な有給休暇制度チームと文化私たちは高密度・高パフォーマンスのチームであり、高品質な仕事とグローバルインパクトに注力しています。オーナーのように行動し、スピード、明確さ、徹底的な責任感を重視します。成長意欲があり、卓越性を大切にする方を歓迎します。会社概要：BJAKBJAK は東南アジア最大の保険アグリゲーターで、800 万人以上のユーザーを持ち、社員が完全に所有する企業です。本社はマレーシアにあり、タイ、台湾、日本でも事業を展開しています。Bjak.com を通じて、数百万人のユーザーに透明性が高く、手頃な金融保障を提供しています。また、API、自動化、AI などの先端技術を駆使し、複雑な金融商品をシンプルにし、次世代のインテリジェントな金融システムを構築しています。現実世界にインパクトを与える AI システムを構築し、高インパクトな環境で急速に成長したい方、ぜひご応募ください。--------------------------------------------------------- Transform Visual Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.).Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods.Proficiency with PyTorch (preferred).Experience in dataset preparation (captioning, tagging, filtering, augmentation).Knowledge of GPU optimization, latent diffusion, and efficient training techniques.Strong foundations in software engineering, algorithms, and clean code practices.Nice to HavePrior work in style transfer, personalization, or multimodal generation.Experience with safety alignment in generative vision (NSFW detection, adversarial testing).Open-source contributions in diffusion or generative vision projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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📍勤務形態：日本（リモート - 日本国内であればどこでも勤務可）モデルからUIまで、すべてをカバーするインテリジェントシステムを構築 BJAKでは、AIを活用して東南アジア全域の金融サービスの在り方を再構築しています。よりスマートで、よりシンプルで、よりインクルーシブな金融体験を実現するためです。AI Engineerとして、あなたは機械学習とソフトウェアエンジニアリングの架け橋となり、AIを活用した本物のプロダクトをユーザーの手元に届けていただきます。本ポジションは日本を拠点とした完全リモート勤務で、マレーシア本社および東南アジア各国のチームと密に連携しながら業務を行います。バックエンドからML統合、フロントエンドまでスタック全体を通じて、スケーラブルで現実世界にインパクトを与えるインテリジェントシステムを構築していただきます。このポジションの重要性AIモデルとユーザー体験をつなぐキープレイヤーとして活躍できます数百万人の金融体験に直接影響を与えるプロダクトを設計・構築しますバックエンド、ML、フロントエンドを融合したフルスタックシステムを構築しますスピード、オーナーシップ、協働を重視する少数精鋭チームの一員になります主な業務内容機械学習モデルを組み込んだフルスタックアプリケーションの構築とデプロイデータサイエンティストおよびMLエンジニアと連携し、スケーラブルなバックエンドにMLを統合インテリジェント機能のためのAPI、バックエンドサービス、リアルタイムデータパイプラインの開発AIによるインサイトをユーザーに伝える直感的でパフォーマンスの高いUIの設計アーキテクチャ設計、テスト、デプロイ、モニタリングなど開発ライフサイクル全体の管理プロダクト、デザイン、エンジニアリングチームと協働し、洗練されたエンドツーエンドソリューションを提供パフォーマンス、使いやすさ、信頼性の継続的な改善こんな方にフィットします結果にコミットし、コードの行数ではなく実際のインパクトにこだわるデータからUIまで、問題をエンドツーエンドで解決できるV1をすぐに出し、早く改善していくアジャイルな姿勢混沌や不確実性、変化の激しい環境を前向きに受け止められる創業者のような思考で、自ら動き、課題を解決できる新しいツールや技術を積極的に学び、失敗からも学べるチームの中で人を引き上げ、自分自身も常に学び続ける応募要件コンピュータサイエンス、ソフトウェアエンジニアリング、または関連分野の学士号以上Pythonに強い熟練度が必須ですフロントエンド・バックエンド両方の開発経験（2〜4年）PythonおよびJavaScript（Node.js、Reactなど）による開発スキルMLモデルをプロダクション環境に統合した経験REST API、クラウドデプロイ、スケーラブルなアーキテクチャに関する知識SQL／NoSQLデータベース、分散システムに慣れている方ソフトウェア設計パターン、テスト、デバッグに関する理解日本在住で、国際的なリモートチームとの協働が可能な方あれば歓迎する経験FastAPI、Flask、TensorFlow Servingなどを用いたMLモデルのデプロイ経験Next.js、Vue、TypeScriptなどモダンなフロントエンド技術への理解MLflow、Airflow、Docker、GCP、AWSなどの利用経験スタートアップやアジャイルなプロダクトチームでの実務経験Explainable AI、可視化、複雑なML出力のUI化に興味がある方福利厚生競争力のある給与と成果に応じたボーナス日本全国どこからでも働けるリモートファーストの勤務体系プロダクト主導のAI企業での高い影響力とオーナーシップフラットな組織文化 - 意見が尊重され、成果が評価されます急成長できる環境 - エンジニアリング、データ、プロダクトにおける可視性東南アジア地域にまたがるプロダクト構築経験とクロスボーダーな連携機会BJAKについてBJAKは、東南アジア最大のデジタル保険プラットフォームです。マレーシアに本社を構え、タイ、台湾、日本で展開しています。数百万人のユーザーに向け、AI駆動の仕組みを使って、より手頃でわかりやすい金融保障を提供しています。自動化、レコメンデーションエンジン、スマートAPIを通じて、複雑な金融サービスをシンプルかつ公平にすることを目指しています。------------------------------------------------------------------------------------📍 Working arrangement: Japan (Remote - work from anywhere in Japan)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Japan, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in Japan and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in JapanHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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📍 Working arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)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 AI Developer, 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 Hong Kong, 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 fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience 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 Hong Kong 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 Hong KongDirect 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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📍 Working arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)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 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 Hong Kong, 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 fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience 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 Hong Kong 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 Hong KongDirect 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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Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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📍 Working Arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Hong Kong to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Hong Kong and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in Hong KongHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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📍 Working arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Founding AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Hong Kong, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in Hong Kong and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in Hong KongHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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Transform Visual Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with remote work arrangement. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.).Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods.Proficiency with PyTorch (preferred).Experience in dataset preparation (captioning, tagging, filtering, augmentation).Knowledge of GPU optimization, latent diffusion, and efficient training techniques.Strong foundations in software engineering, algorithms, and clean code practices.Nice to HavePrior work in style transfer, personalization, or multimodal generation.Experience with safety alignment in generative vision (NSFW detection, adversarial testing).Open-source contributions in diffusion or generative vision projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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📍 Working arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Hong Kong, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in Hong Kong and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in Hong KongHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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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必须具备熟练的 Python 技能熟悉 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！-------------------------------------------------------------------------------------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 fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience 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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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AI Developer，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必须具备熟练的 Python 技能熟悉 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！-------------------------------------------------------------------------------------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 an AI Developer, 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 fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience 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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将语言模型转化为现实应用我们正在为全球用户构建 AI 系统。当前正处于 AI 转型的时代 —— 本项目团队将专注于构建能够实现更大现实世界影响和广泛使用的 AI 应用。这是一个全球性岗位，采用混合办公模式 —— 灵活的远程办公与总部现场协作相结合。你将与产品、工程、运营、基础设施和数据等地区团队紧密合作，共同构建并扩展具有影响力的 AI 解决方案。为什么这个职位重要你将对最前沿的模型进行微调、设计评估框架，并推动 AI 功能上线至生产环境。你的工作将确保我们的模型不仅智能，还具备安全性、可信度，并能够大规模产生影响。你的职责模型微调与优化 — 使用 LoRA/QLoRA 优化开源模型（如 LLaMA、Mistral、Gemma）提示工程与数据构建 — 设计体现品牌语气、语调和安全性的提示词与数据集模型评估 — 构建困惑度、毒性、相关性等指标评估流程，确保输出质量与安全性部署与监控 — 将模型部署至生产环境，进行性能优化与偏移监控协作交付 — 与产品、工程与设计团队协作，共同推出面向用户的 AI 功能你是这样的人喜欢独立拥有项目主导权相信“清晰来自于行动” — 擅长快速原型、测试与迭代，而非等待完美计划在创业混乱环境中保持冷静与执行力 —— 面对变化优先级和从零开始的挑战能快速适应崇尚速度优先 — 认为“及时交付有价值的成果”比“完美但延迟交付”更重要将反馈和失败视为成长的一部分 —— 期待通过挑战不断升级自身能力拥有谦逊、进取与实干精神，同时愿意帮助他人成长任职要求在 Transformers、深度学习和微调方法（如 LoRA/QLoRA、SFT、蒸馏）方面有丰富经验熟练掌握 PyTorch（优先）或 TensorFlow精通提示工程与数据集构建，能确保内容与语气、安全性、可信度一致熟悉各类评估指标，如困惑度、毒性、相关性具备良好的软件工程基础，包括算法、数据结构和规范代码实践加分项有文本生成、内容审核或个性化推荐的相关经验有使用 RLHF（人类反馈强化学习）或 LLM 强化学习经验有参与开源机器学习项目的经历你将获得扁平化结构与真正的项目所有权全面参与产品方向与共识式决策灵活的办公方式高影响力岗位，覆盖产品、数据与工程团队市场顶尖的薪酬方案与绩效奖金全球化产品开发视野丰厚福利 —— 住房租赁补贴、高质量公司餐厅、加班餐补健康、牙科与视力保险全球旅行保险（适用于你和家属）无限制、灵活的休假制度团队与文化我们是一支高密度、高绩效的团队，专注于高质量成果与全球影响。我们像主人一样思考与行动，重视速度、清晰与持续的责任感。如果你渴望成长、追求卓越，我们欢迎你加入。关于 BJAKBJAK 是东南亚最大的保险聚合平台，拥有超 800 万用户，且公司完全由员工持股。总部设在马来西亚，并在泰国、台湾和日本开展业务。通过 Bjak.com，我们帮助数百万用户获得透明且可负担的金融保障。我们通过 API、自动化和 AI 等尖端技术，简化复杂的金融产品，致力于构建下一代智能金融系统。如果你渴望构建现实世界的 AI 系统，并在高影响力的环境中快速成长，欢迎加入我们！---------------------------------------------------------------Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.