Top Machine Learning Engineer Jobs Openings in 2025

true

📍 Working arrangement: Munich, Germany (Remote - work from anywhere in Germany)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 Founding 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 Germany, 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 Germany 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 GermanyDirect 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.

false

Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning. As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward. As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects. Success CriteriaCollaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems.Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.Implement scalable and efficient software solutions to integrate machine learning models into production systems.Optimize and fine-tune machine learning algorithms for improved performance and accuracy.Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team.Provide technical guidance and mentorship to junior team members. Your ExperienceQualificationsMaster’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing.4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.Hands-on experience deploying ML models to production.Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP).Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role.Familiarity with robotics principles and technologies is highly desirable. SkillsStrong programming proficiency in Python and C++.Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems.Ability to optimize and fine-tune ML algorithms for performance and accuracy.Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Leadership and mentorship ability, supporting the growth of junior team members. Traits:Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.Takes ownership and accountability, fostering the same in teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

false

Senior AI Engineer Not another research role - Build AI that’s transforming compliance workflows in enterprise organisations today. About Haast We're not just talking about AI - we're building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams today.Over the past two years, we've transformed compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI-powered platform helps, compliance, and marketing teams revolutionise their operations with 80% faster reviews and 4x productivity boosts, freeing them to focus on work that matters. As the regtech industry rockets toward a $50 billion future, we're proudly leading this shift on the global stage. The Role This role is ideal for someone who wants to take ownership of high-impact systems, push the boundaries of AI and search technology, and ship models into production that enterprise teams rely on daily.. You'll design and implement hybrid recall methods that combine advanced search technologies with large language models. You’ll build scalable systems that detect compliance risks in real time and power critical decision-making for enterprise teams.Impact you'll makeDesign & Build: Architect and implement hybrid search methods combining vector databases with LLMs.Optimize & Scale: Lead the optimization of retrieval strategies and pipelines for high-recall compliance detection.Benchmark & Evaluate: Develop evaluation systems, drive continuous tuning, and set performance standards.Partner & Deliver: Collaborate with product and engineering to deliver new ML features end to end.What you'll bringMust Have:Proven experience in ML or search engineering in production Proficiency in Python and writing clean, maintainable codeHands-on experience with LLMs, RAG architectures, and real-time inference systemsExperience designing, deploying, and maintaining ML systems in productionExperience working across back-end systems and search infrastructureExperience building NLP evaluation systems Bonus points if you have:Experience with Vespa, OpenSearch, or similar search technologiesData engineering or benchmarking system designFastAPI framework experienceAWS cloud expertiseStartup or high-growth environment experienceResearch background in ML or searchDevOps and CI/CD familiarityWhy HaastGrowth & Impact Recently secured a $6M seed round led by AirTree to accelerate our growthBuild enterprise-grade AI technology that major enterprise institutions trust - not just prototypesShape how AI transforms compliance, a sector long overdue for changeAccelerate your career: learn more in 12 months than most roles offer in 3 yearsCulture & BenefitsFlexible hybrid model - Sydney preferred, Aus remote possible for the right candidateCompetitive salary and above market equity (ESOP) - we share successCollaborative, engineering-driven culture with a focus on learning and growthWork with the AI technologies everyone talks about - but rarely gets to useIf you’re looking for a high-impact role where your work shapes the future of enterprise AI, we’d love to hear from you.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you. If this role sparks your interest, reach out - let’s chat.

true

📍 Working Arrangement: Dublin, Ireland (Remote - work from anywhere in DublinShape 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 Founding AI Engineer based in Dublin 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong proficiency in Python is a mustDeep 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 Dublin 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 Dublin High 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.

true

📍 Working Arrangement: Dublin (Remote - work from anywhere in Dublin)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 Founding Lead AI Engineer based in Dublin 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills and deep 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 Dublin 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 Dublin High 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.

true

📍 Working arrangement: Remote — remote in Dublin, Ireland Build Intelligent Systems from Model to UI — and Everything in Between At 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 bring intelligent features directly into users’ hands. You’ll operate across the stack — from backend systems and ML model integration to frontend delivery — and help shape how millions of users experience intelligent financial services. This is a hybrid role based in Malaysia, working closely with teams across product, data, and engineering.Why This Role MattersYou’ll be the critical link between AI models and user-facing featuresYour work will define how intelligence is delivered to millions of usersYou’ll build end-to-end systems that combine backend, ML, and frontend engineeringYou’ll thrive in a lean, fast-moving team that values bold execution and real-world impactWhat You’ll DoBuild and deploy full-stack applications that leverage machine learning modelsCollaborate with ML engineers and data scientists to integrate models into productionDevelop backend services, APIs, and pipelines to power intelligent featuresBuild intuitive and performant UIs that surface AI insights clearly and meaningfullyOwn the full development lifecycle — architecture, implementation, testing, deployment, and monitoringWork with product, design, and engineering teams to deliver seamless user experiencesContinuously improve the performance, scalability, and reliability of AI-integrated systemsYou’ll Thrive Here If You...Love shipping fast — you’d rather launch V1 this week than perfect V3 six months laterTreat every problem as your own, regardless of scope or titleEnjoy switching hats — builder, debugger, architect, and product thinker when neededBelieve clarity comes from action — prototype, test, and iterate without waiting for perfect plansStay calm and effective in startup chaos — shifting priorities and building from zero doesn’t faze youSee feedback and failure as part of growth — you're here to level upBelieve “done” beats “perfect,” but still care deeply about UX and code qualityShow up with humility, hunger, and hustle — and lift up others as you goRequirementsBachelor’s degree in Computer Science, Software Engineering, or related field2–4 years of experience in full stack development (frontend + backend)Strong coding skills in Python is a MUST and JavaScript (Node.js, React), or similar stacksExperience integrating machine learning models into production applicationsSolid understanding of API development, RESTful services, and cloud deploymentComfortable working with SQL/NoSQL databases and scalable system architectureProficient in debugging, testing, and modern software design best practicesNice to HaveExperience with tools like FastAPI, Flask, TensorFlow Serving for ML model deploymentFamiliarity with frontend frameworks like Next.js, Vue, or TypeScriptExposure to ML lifecycle and ops tools (MLflow, Airflow, Docker, GCP/AWS)Experience in high-growth startup or agile product development teamsUnderstanding of AI explainability and data visualization in user interfacesWhat You’ll GetCompetitive salary and performance-based bonusesHybrid flexibility — work from home and collaborate in-office at HQHigh-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 companyRegional exposure across Southeast Asian marketsAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia with operations in Thailand, Taiwan, and Japan, we help millions of users access affordable, transparent financial protection. We use AI, automation, and APIs to simplify complex financial products — making them accessible, faster, and fairer. If you're excited to bring AI to life through full stack engineering and want to build products that reach millions — we’d love to hear from you.

true

📍 Working arrangement: Dublin (Remote - work from anywhere in Dublin)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 Founding AI 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 Dublin, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field2 - 4 years of experience in machine learning or backend software developmentStrong proficiency in Python is a mustExperience 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 Dublin 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 Dublin Direct 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.

true

📍 Working Arrangement: Singapore (Remote – work from anywhere in Singapore)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 Founding AI Engineer based in Singapore 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 preprocessing 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 experienceStrong proficiency in Python is a mustFamiliar 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 remotely and collaborating with regional teamsBased in Singapore (Singaporean citizen) with Remote working set up Nice 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 bonusesFully remote and flexible work setup from anywhere in SingaporeOpportunity 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.

true

Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re using AI to solve meaningful problems - from fraud detection and risk modeling to personalized experiences that make insurance and financial services more inclusive. We’re looking for a AI Engineer based in Singapore to play a key role in building and scaling these systems. This role combines senior-level engineering depth with team leadership, reporting directly to our Head of AI. You’ll be both an individual contributor and a technical mentor, working hands-on with models while also guiding junior engineers and contributing to the team's growth.Why This Role MattersYou’ll build core AI systems that serve millions of users across the region.You’ll act as the right hand to the Head of AI, shaping direction, execution, and standards.You’ll help build a lean, high-performance AI team by interviewing, mentoring, and coaching.You’ll set the technical bar, leading by example in code quality, delivery, and problem-solvingWhat You’ll DoDesign and deploy production-grade machine learning models for business-critical use cases.Collaborate closely with engineering, data, and product teams to identify and deliver AI solutionLead technical decisions on model architecture, system design, and deployment pipelines.Own end-to-end model lifecycle: from data preparation to training, validation, monitoring, and retrainingAct as a mentor to junior AI engineers - reviewing code, guiding projects, and supporting growthSupport hiring: interview candidates, evaluate technical fit, and contribute to building a world-class teamChampion AI best practices, experimentation, and continuous improvementStay current with AI advancements and evaluate what’s worth bringing into our stackYou’ll Thrive Here If You...Are both a builder and a leader - you roll up your sleeves and raise the bar for othersGet excited about shipping AI systems that work in the real worldEnjoy helping teammates grow and succeed - and do it without egoCan bring clarity and structure to ambiguityThrive in a high-ownership, fast-paced startup cultureCare about impact - not just model accuracy, but how it affects users and businessThink feedback, iteration, and learning are part of the job - not afterthoughtsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related field4–6 years of experience in AI engineering, with production deployment experienceStrong proficiency in Python is a mustDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Experience working on real-world AI applications (e.g., risk scoring, recommendation, NLP, etc.)Experience mentoring engineers and collaborating across functionsStrong communication skills - able to work cross-functionally and provide technical leadershipMust be based in Singapore and able to work remotely with Malaysia HQNice to HaveExperience with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)Familiarity with model explainability, fairness, or responsible AI practicesBackground in startup or high-growth tech environmentsExposure to building internal AI tools, frameworks, or reusable componentsWhat You’ll GetCompetitive salary and performance bonusesFully remote, flexible work setup from anywhere in SingaporeHigh ownership, visible impact, and direct reporting to the Head of AIFast career growth in a company scaling across ASEANOpportunity to lead a lean, smart team solving meaningful problemsAccess to cross-border collaboration and regional product exposureAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions access transparent and affordable financial protection. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, fast, and fair. Join us to shape the future of AI-driven finance. If you’re ready to build, lead, and scale AI that matters - and grow with a company that moves fast and thinks big - we’d love to hear from you.

false

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 Founding AI 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 Hybrid role based in Thailand, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field2 - 4 years of experience in machine learning or backend software developmentStrong Python skills is a MUST Experience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsThai CitizenshipBased in Thailand, with the ability to work in a hybrid setup from OfficeNice 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 bonusesHybrid work flexibility: remote work plus in-person collaboration at our HQDirect 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.

false

Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re solving high-impact, real-world challenges through AI — from fraud detection and risk modeling to intelligent, personalized user experiences that make insurance and financial services more accessible and inclusive. As a Lead AI Engineer based in Thailand, you’ll play a key role in building and scaling intelligent systems that serve millions across the region.This is a hybrid role that combines profound technical contributions with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help shape a lean, high-performing AI team through mentorship, coaching, and hiring.Why This Role MattersYou’ll build and deploy core AI systems that impact real users across Southeast AsiaYou’ll act as the right hand to the Head of AI — influencing roadmap, execution, and technical standardsYou’ll help shape and grow a world-class AI team through mentorship and hiringYou’ll raise the bar on technical quality, delivery speed, and scalable architectureWhat You’ll DoDesign, train, and deploy production-grade ML models for business-critical use casesCollaborate closely with product, data, and engineering teams to define and execute AI solutionsLead technical decision-making on model design, deployment pipelines, and infrastructureOwn the full model lifecycle — from data prep and training to evaluation, monitoring, and retrainingGuide junior AI engineers through code reviews, project planning, and mentorshipDrive the hiring process: screen candidates, evaluate technical fit, and onboard top talentChampion best practices in experimentation, model development, and production AIStay ahead of the curve — evaluate new tools, frameworks, and advancements in AIYou’ll Thrive Here If You...Are both a builder and a leader — you roll up your sleeves and raise the bar for othersCare deeply about real-world impact — you think beyond accuracy to user outcomesTake 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 a core part of your engineering processCommunicate clearly — you can align cross-functional teams on complex AI systemsRequirementsBachelor’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 is a MUST 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 skillsMust be a Thai citizenMust be willing to work hybrid from our Thailand office while collaborating with the Malaysia teamNice 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 — mix of remote work and in-office collaboration at HQHigh ownership and direct impact — report to Head of AI and drive mission-critical projectsClear 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, helping millions of users access transparent, 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.

true

📍 Working arrangement: United Kingdom (Remote - work from anywhere in the UK)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 the UK, 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 the UK 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 the UKHigh-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.

true

📍 Working Arrangement: United States (Remote - work from anywhere in United States)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 the US 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 the US 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 the USHigh 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.

true

📍 Working Arrangement: Vietnam (Remote – work from anywhere in Vietnam)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 Founding AI Engineer based in Vietnam 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 preprocessing 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 remotely and collaborating with regional teamsBased in Vietnam with Remote working set up Nice 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 bonusesFully remote and flexible work setup from anywhere in VietnamOpportunity 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.

true

📍 Working Arrangement: Vietnam (Remote - work from anywhere in Vietnam)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 Founding Lead AI Engineer based in Vietnam 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills is a MUST Deep 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 Vietnam 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 VietnamHigh 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.

false

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates that can be leveraged across the teamRecruit, hire, onboard, and coach a team of Forward Deployed Engineers, evolving our services delivery playbook and resourcing modelOwn customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive teamPartner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs and market opportunitiesDrive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementationsExperience4+ years experience in Solutions Engineering, Technical Account Management, Product, or similar technical leadership role at a high-growth B2B SaaS startup; we 💚 former (or future aspiring) foundersDeep experience with LLMs and AI techniques, including prompt engineering and production deployments, plus expert-level workflow automation (Zapier, etc.)Strong analytical skills with experience using data to inform decisions and excellent project management skills using tools like Linear, Airtable, and AsanaSuperb written and verbal communication skills with proven ability to influence cross-functional stakeholders and executive customersOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

true

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 Remote role based in Indonesia 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 proficiency in Python is a mustDeep 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 Indonesia with Work Remote Setup Nice 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 bonusesHigh 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.

true

📍 Working Arrangement: Indonesia (Remote – work from anywhere in Indonesia)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 Founding AI Engineer based in Indonesia 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 preprocessing 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 remotely and collaborating with regional teamsBased in Indonesia with Remote working set up Nice 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 bonusesFully remote and flexible work setup from anywhere in IndonesiaOpportunity 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.

false

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 Founding AI 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 Hybrid role based in Malaysia, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field2 - 4 years of experience in machine learning or backend software developmentStrong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsBased in Malaysia, with the ability to work in a hybrid setup from PJ HQNice 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 bonusesHybrid work flexibility: remote work plus in-person collaboration at our HQDirect 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.

false

📍 Working Arrangement: Malaysia (Hybrid)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 Founding Lead AI Engineer based in Malaysia 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 field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills and deep 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 skillsNice 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 bonusesHybrid work flexibility: remote work plus in-person collaboration at our HQHigh 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.