Top Machine Learning Engineer Jobs Openings in 2025

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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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About MoonvalleyMoonvalley's mission is to solve Visual Intelligence in the age of generative AI. We are building technology that can tell stories, scale creativity, and understand both the physics and semantics of the world. With Marey, our first high-definition foundation model trained exclusively on licensed data, we are powering the next era of cinematic, commercial, and enterprise-grade creation.Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from Deepmind, Google, Microsoft, Meta & Snap, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $100M+ from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started.Job SummaryWe’re looking for a Machine Learning Engineer to design and scale the infrastructure powering our generative video and visual models, particularly for our latest product verv.fm . This role combines deep ML engineering expertise with hands-on experience in modern generative systems like Stable Diffusion, Comfy, and Flux.You’ll build data ingestion pipelines, develop visual preprocessing workflows, and fine-tune generative models with production-level reliability. You’ll also help drive prompt-aware systems and intelligent feedback loops that elevate both the quality and control of our media generation stack.What you’ll doDesign and implement data workflows for ingestion, cleaning, validation, filtering, and quality scoringFine-tune and deploy generative models like Stable Diffusion and Flux Loras and build large-scale workflows using tools such as ComfyExperience training and working with video models like WAN, VACE, etcIntegrate computer vision techniques (segmentation, mask ops, object tracking) into generation pipelinesBuild high-throughput pipelines for frame extraction, captioning, and visual data processing at scaleDevelop and experiment with context- and prompt-aware model orchestration strategiesContribute to observability and monitoring across the ML data lifecycleCollaborate with infra teams to scale across GPU-backed infrastructure and serverless environments (e.g., Fal.ai)Work across a fast-paced, evolving product environment with creative and technical inputs(Bonus) Explore self-supervising or agentic workflows for automated pipeline feedback and improvementWhat we’re looking forStrong experience in ML engineering with a focus on computer vision, generative media, or multimodal systemsHands-on experience fine-tuning or deploying generative models (e.g., SD, Flux, Comfy)Proficiency in Python and asynchronous API developmentFamiliarity with image/video-specific challenges: frame alignment, codec handling, perceptual quality scoringExperience with scalable data systems using tools like Airflow, Spark, or RaySolid understanding of GPU infrastructure and model deployment best practicesKnowledge of prompt engineering and context-driven model behaviorComfortable working in ambiguity and bridging infrastructure and modeling challengesBonus: Experience with foundation model training pipelines or agentic systemsAvailability for at least 4 hours of overlap with US Eastern TimeWhat we offer (compensation & benefits) Competitive salary and equityPrivate health coveragePension contribution (UK, Canada, US)Unlimited paid vacationFully-distributed, async-first cultureHardware setup of your choiceStipends for phone, internet, and mealsIn our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workMoonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located here for further information.

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as: Apply DPO (direct preference optimisation) to pre-trained models. Adapt models to extend their capabilities, for instance, by changing conditioning inputs. Build solutions for dubbing and evaluate the quality of lip-sync. Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation. Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering. Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods. What we're looking for: You have a background in Computer Vision / Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention) You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security. The good stuff... Competitive compensation (salary + stock options + bonus) Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.  25 days of annual leave + public holidays Great company culture with the option to join regular planning and socials at our hubs + other benefits depending on your location You can see more about Who we are and How we work here: https://www.synthesia.io/careers  LI-MD1  

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Building the Open Superintelligence Lab Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. Role ImpactThis is a customer facing role at the intersection of cutting-edge RL/post-training methods and applied agent systems. You’ll have a direct impact on shaping how advanced models are aligned, deployed, and used in the real world by:Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale.Building Robust Infrastructure: Developing the distributed systems and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale.Bridge Between Customers & Research: Translate customer needs into clear technical requirements that guide product and research priorities.Prototype in the Field: Rapidly design and deploy agents, evals, and harnesses alongside customers to validate solutions. Customer-Facing EngineeringWork side-by-side with customers to deeply understand workflows and bottlenecks.Prototype agents and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.Translate customer insights into roadmap and research direction.Post-training & Reinforcement LearningDesign and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.Build evaluation harnesses and verifiers to measure reasoning, robustness, and agentic behavior in real-world workflows.Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.Agent Development & InfrastructureRapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.Architect and maintain distributed training/inference pipelines, ensuring scalability and cost efficiency.Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments..RequirementsStrong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems.What We OfferCompetitive Compensation + equity incentivesFlexible Work (remote or San Francisco)Visa Sponsorship & relocation supportProfessional Development budgetTeam Off-sites & conference attendance Growth OpportunityYou’ll join a mission-driven team working at the frontier of open, superintelligence infra. In this role, you’ll have the opportunity to:Shape the evolution of agent-driven solutions—from research breakthroughs to production systems used by real customers.Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL and post-training.Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.If you’re excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we’d love to hear from you.Ready to build the open superintelligence infrastructure of tomorrow? Apply now to help us make powerful, open AGI accessible to everyone.

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About Ema: Ema is at the forefront of artificial intelligence research and application, dedicated to creating cutting-edge AI solutions that empower users globally. Join our dynamic team to help shape the future of AI technology.Responsibilities:Create Enterprise AI Model Evaluation Test Sets: Develop and maintain comprehensive test sets tailored for various enterprise use cases.Evaluate AI Models: Assess different versions, personas, and prompts of Ema on multiple quality parameters. Ensure new features and updates meet established standards before launch.Generate AI Evaluation Reports: Compile detailed evaluation reports that provide insights for improving persona setups and Ema's AI models.Test UX Flows: Evaluate the efficacy and usability of auxiliary user experience flows to ensure seamless end-to-end GenAI usage for Ema’s users.Automate Testing Flows: Develop and implement scripts and browser automation tools to streamline testing processes. Enhance testing velocity and early issue detection to improve overall product quality.Requirements:Educational Background: Bachelor’s degree required. Degrees in engineering, linguistics, or psychology preferred.Communication Skills: Strong verbal and written English communication skills are essential.Professional Experience: 1-3 years of prior professional experience. Experience in content creation, QA testing, prompt engineering, or editing is preferred.Benefits:Stay at the cutting edge of GenAI research, guided and coached by top researchers in the field.Learn best practices for solving user problems with GenAI products.Collaborate across cross-functional teams to effectively achieve customer impact.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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We are hiring for a Senior Agent Engineer to build sophisticated AI agents with our customers to solve real world problems at the edge of AI capabilities. On a daily basis, you will work directly alongside customer teams co-owning the agent development process from prototypes to production. You will also be our tip-of-the-spear contributing learnings from the real world implementations back to the LangChain product and engineering teams.Key Responsibilities:Partner directly with enterprise customers to co-architect and co-build next-generation AI agents and applications, working shoulder-to-shoulder from design and architecture through production deployment.Lead technical design sessions to scope, align on implementation approach and ensure customers adopt sound architectural choices for performance and reliability.Partner with sales and pre-sales engineering to define implementation strategies for customers, accelerating the value customers can derive from our platform.Synthesize customer feedback and identify friction points to inform the product roadmap, collaborating with product and engineering teams to improve the user experience.Stay current on emerging AI trends and translate them into actionable solutions and technical guidance as applicable to customers.What We're Looking For:7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, your welcome to apply1+ year of hands-on agent engineering experience with deep Python or TypeScript skills, preferably using LangGraphExceptional written and oral communication skills with the ability to explain complex technical concepts to developers and non-technical stakeholders.Experience working directly with customers to define scope, clarify requirements, and prioritize implementation steps that deliver the greatest value firstStrong judgement and able to operate independently while keeping customers and others updated on progressA bias for action: thrives in ambiguity, moves fast, and can juggle multiple complex projects.Bonus points for experience in enterprise environments and cloud-based systems using technologies like Kubernetes and Docker.Location: San Francisco or New York.Comp: $160K-$200K

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机器学习工程师（扩散模型 / 视觉方向）将视觉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 变革时代 —— 本项目团队专注于打造真正具有现实世界影响力、全球高使用率的视觉生成类 AI 应用。该职位是一个全球岗位，支持灵活混合办公模式 — 结合远程办公与总部面对面协作。你将与产品、工程、运营、基础设施与数据等地区团队紧密协作，构建并扩展具有深远影响的 AI 解决方案。为什么这个岗位重要你将对最前沿的扩散模型进行微调，构建评估体系，并推动 AI 功能上线至生产环境。你的工作不仅让模型更智能，也确保其具备安全性、可信度与大规模应用能力。你的职责微调与定制 —— 使用 LoRA、DreamBooth 等参数高效方法训练并优化扩散模型（包括 SDXL、Flux、Stable Diffusion 等变体）数据集构建 —— 构建、清洗和标注大规模图像数据集，涵盖自动生成描述、图像打标签、NSFW 过滤等，以确保生成内容的安全性与对齐性评估与对齐 —— 设计评估流程，衡量生成图像在保真度、多样性、风格一致性与安全性等维度的表现性能优化 —— 应用 GPU 显存优化、潜空间扩散技巧与分布式训练等手段，实现高效扩展部署与监控 —— 将扩散模型驱动的功能部署上线，并持续监控模型漂移、延迟与输出质量跨职能合作 —— 与产品与设计团队协作，将视觉生成能力无缝融入用户体验中你是这样的人：喜欢独立拥有项目主导权相信“清晰来自行动” —— 擅长快速原型、测试与迭代，而非等待完美计划能在初创环境中保持冷静 —— 不惧优先级变化或从零开始构建系统做事迅速、执行力强 —— 相信“现在交付价值”比“完美但延迟交付”更重要将反馈与失败视为成长机会 —— 渴望不断精进自己拥有谦逊、求知欲与实干精神，并愿意带动他人成长任职要求在扩散模型与视觉生成领域具备扎实经验（如 Stable Diffusion、SDXL、Flux 等）熟练掌握 DreamBooth、LoRA/QLoRA 等微调技术精通 PyTorch（优先）具备图像数据准备能力，包括自动描述生成、标签标注、过滤与增强等熟悉 GPU 优化、潜变量扩散技巧与高效训练方法具备扎实的软件工程基础，包括算法、数据结构与整洁代码规范加分项有风格迁移、个性化生成或多模态生成方面的经验熟悉生成式视觉模型的安全对齐，如 NSFW 检测与对抗测试有开源扩散模型或视觉生成项目的贡献经验你将获得扁平化结构与真实的项目主导权全面参与产品方向与共识式决策弹性办公制度高度影响力岗位，与产品、数据与工程团队深度协作顶尖市场薪酬与绩效奖金全球化视野的产品开发机会丰厚福利 —— 住房租赁补贴、高质量公司餐厅、加班晚餐补助健康、牙科与视力保险全球旅行保险（适用于你和家属）无限制、灵活的带薪休假制度我们的团队与文化我们是一支高密度、高绩效的团队，专注于打造高质量产品，影响全球用户。我们像主人一样思考与行动，重视执行速度、沟通清晰与极致责任感。如果你渴望成长、追求卓越，欢迎加入我们！关于 BJAKBJAK 是东南亚最大的保险聚合平台，拥有超过 800 万用户，且公司完全由员工持股。总部位于马来西亚，业务遍及泰国、台湾与日本。我们通过 Bjak.com，帮助数百万用户获得透明、可负担的金融保障。我们通过 API、自动化与 AI 等前沿技术，简化复杂的金融产品，打造下一代智能金融系统。如果你对构建真实世界落地的 AI 系统充满热情，并希望在高影响力环境中快速成长，我们期待你的加入！--------------------------------------------------------- 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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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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시각 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 이유당신은 최신 확산 모델을 파인튜닝하고, 평가 프레임워크를 설계하며, AI 기능을 실제 서비스 환경에 적용합니다. 당신의 업무는 모델이 단순히 지능적일 뿐만 아니라, 안전하고 신뢰할 수 있으며, 대규모에서 효과적으로 작동하도록 보장합니다.주요 업무파인튜닝 및 최적화 —— LoRA, DreamBooth 및 기타 효율적인 기법을 활용하여 확산 모델(SDXL, Flux, Stable Diffusion 변형)을 학습 및 커스터마이징데이터셋 구축 —— 대규모 이미지 데이터셋을 구축·정제·주석 처리(캡션, 태깅, NSFW 필터링)하여 안전하고 정렬된 생성 환경 조성평가 및 정렬 —— 충실도, 다양성, 스타일 일관성, 안전성을 측정하는 파이프라인 개발성능 최적화 —— GPU 메모리 최적화, 잠재 확산 기법, 분산 학습을 적용하여 효율적으로 확장배포 및 모니터링 —— 확산 모델 기반 기능을 실제 서비스에 배포하고, 드리프트, 지연, 품질을 지속적으로 모니터링협업 및 제공 —— 제품 및 디자인 팀과 협력하여 생성형 비전 기능을 사용자 경험에 통합이런 분을 찾습니다주도성과 독립성을 중시하는 분“명확함은 실행에서 나온다”는 믿음을 가지고, 완벽한 계획을 기다리기보다 프로토타입 제작·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 요건확산 모델 및 생성 비전(Stable Diffusion, SDXL, Flux 등) 관련 풍부한 경험DreamBooth, LoRA/QLoRA 및 파인튜닝 기법 실무 경험PyTorch 숙련 (우대)데이터셋 준비 경험 (캡션, 태깅, 필터링, 증강 등)GPU 최적화, 잠재 확산, 효율적인 학습 기법에 대한 지식소프트웨어 엔지니어링 기초(알고리즘, 자료구조, 클린 코드)에 대한 탄탄한 기반우대 사항스타일 전이, 개인화, 멀티모달 생성 관련 경험생성형 비전에서의 안전성 정렬 경험(NSFW 탐지, 적대적 테스트 등)확산 모델 또는 생성 비전 관련 오픈소스 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 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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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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將視覺模型轉化為真實世界應用我們正在為全球用戶打造 AI 系統，專注於開發能在現實世界中產生重大影響與高度使用率的生成式視覺應用。此職缺屬於 全球性角色，採用 混合工作模式 —— 遠端彈性與總部協作相結合。為什麼這個角色重要你將對最前沿的擴散模型進行微調、設計評估流程，並將 AI 功能推向生產環境，確保模型安全、可信並具備規模化影響力。你將負責的工作使用 LoRA、DreamBooth 等技術微調 SDXL、Flux、Stable Diffusion 模型建立大規模圖像資料集，進行標註、分類與 NSFW 過濾建立評估流程，衡量忠實度、多樣性、風格一致性與安全性GPU 記憶體最佳化、潛在擴散技巧與分散式訓練部署生成式視覺功能並持續監控效能與產品與設計團隊合作，將生成式功能融入使用者體驗必要條件有 Stable Diffusion、SDXL、Flux 等模型經驗熟悉 DreamBooth、LoRA/QLoRA 微調熟練 PyTorch（優先）具備資料處理、標註、過濾與增強能力熟悉 GPU 最佳化與高效訓練技巧扎實的程式基礎加分條件曾參與風格轉換、個人化、多模態生成專案有生成式視覺的安全性對齊經驗（NSFW 檢測、對抗測試）有開源專案貢獻經驗你將獲得扁平化組織與實際主導權全程參與產品方向與共識決策彈性混合工作模式高影響力角色，跨產品、數據與工程協作頂尖市場水準的薪酬與績效獎金全球產品開發經驗與曝光機會多樣福利：住房補助、優質員工餐廳、加班餐點補貼健康、牙科與視力保險全球差旅保險（本人與眷屬適用）無限制、彈性帶薪休假團隊與文化我們是一支高密度、高績效的團隊，專注於 高品質工作與全球影響力。我們像主人一樣行動，重視速度、清晰與徹底的責任感。如果你渴望成長並追求卓越，誠摯邀請你加入！關於 BjakBJAK 是東南亞第一大保險聚合平台，擁有 800 萬以上用戶，並由員工全額持股。總部設於馬來西亞，並在泰國、台灣與日本營運。我們透過 Bjak.com 幫助數百萬人獲得透明且可負擔的金融保障。我們利用 API、自動化與 AI 前沿技術，簡化複雜金融商品，致力於打造下一代智慧金融系統。--------------------------------------------------------- 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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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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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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視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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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 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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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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將語言模型轉化為真實世界應用我們正在為全球用戶打造 AI 系統。現今正處於 AI 轉型的時代，這個全新的專案團隊專注於開發能夠帶來更大現實影響力與全球高度使用率的應用。此職缺屬於 全球性角色，採用 混合工作模式 —— 彈性遠端工作結合在總部的實體協作。你將與來自產品、工程、營運、基礎建設與數據等地區團隊密切合作，共同建構並擴展具影響力的 AI 解決方案。為什麼這個角色重要你將對最先進的模型進行微調、設計評估框架，並將 AI 功能推向生產環境。你的工作確保我們的模型不僅智慧，而且安全、可信，並能在大規模下發揮影響力。你將負責的工作使用 LoRA/QLoRA 微調 LLaMA、Mistral、Gemma 等開源模型設計提示詞與資料集，確保語氣、品牌聲音與安全一致建立評估流程（困惑度、毒性、相關性），確保輸出安全與高品質將模型導入生產環境，並進行效能最佳化與漂移監控與產品、工程、設計團隊合作，推出面向用戶的 AI 功能我們希望你是這樣的人喜歡主導權與獨立性相信「清晰來自行動」能在新創環境的混亂中保持冷靜速度導向，重視「現在交付價值」將回饋與失敗視為成長的一部分謙遜、飢渴、有行動力，並樂於幫助他人成長必要條件在 Transformers、深度學習與模型微調（LoRA/QLoRA、SFT、知識蒸餾）方面有經驗熟練 PyTorch（優先）或 TensorFlow擅長提示詞工程與資料設計，確保安全與信任熟悉評估指標（困惑度、毒性、相關性）扎實的程式基礎（演算法、資料結構、乾淨程式碼）加分條件有文字生成、內容審核或個人化經驗有 RLHF 或強化學習於大模型的經驗曾參與開源專案你將獲得扁平化組織與實際主導權全程參與產品方向與共識決策彈性混合工作模式高影響力角色，跨產品、數據與工程協作頂尖市場水準的薪酬與績效獎金全球產品開發經驗與曝光機會多樣福利：住房補助、優質員工餐廳、加班餐點補貼健康、牙科與視力保險全球差旅保險（本人與眷屬適用）無限制、彈性帶薪休假團隊與文化我們是一支高密度、高績效的團隊，專注於 高品質工作與全球影響力。我們像主人一樣行動，重視速度、清晰與徹底的責任感。如果你渴望成長並追求卓越，誠摯邀請你加入！關於 BjakBJAK 是東南亞第一大保險聚合平台，擁有 800 萬以上用戶，並由員工全額持股。總部設於馬來西亞，並在泰國、台灣與日本營運。我們透過 Bjak.com 幫助數百萬人獲得透明且可負擔的金融保障。我們利用 API、自動化與 AI 前沿技術，簡化複雜金融商品，致力於打造下一代智慧金融系統。---------------------------------------------------------------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 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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<This Is a Remote in the UK> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.