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MLOps 工程师 (MLOps Engineer)

Bjak
-
CN.svg
China
Full-time
Remote
false
将语言模型转化为现实应用我们正在为全球用户构建 AI 系统。当前正处于 AI 变革的关键时期 —— 本项目团队致力于构建能够真正落地、创造现实世界最大影响与使用量的 AI 应用。该职位为全球岗位,采用灵活混合办公模式 —— 结合远程办公与总部现场协作。你将与产品、工程、运营、基础设施和数据等地区团队紧密合作,共同构建并扩展具有影响力的 AI 解决方案。为什么这个岗位重要你将运行并优化最前沿的开源模型、设计推理框架,并将 AI 功能稳定上线。你的工作将确保我们的模型不仅具备智能,还能在规模化场景中保持安全性、可靠性与性能表现。你的职责高效运行并管理开源大模型,优化推理的成本与可靠性确保在 GPU、CPU 与内存资源之间的高性能与稳定性实时监控与排查推理性能问题,确保低延迟与高吞吐量与工程团队协作,实现可扩展、可靠的模型服务架构我们正在寻找这样的你:喜欢主导项目并独立推动落地相信“清晰来自行动” —— 原型、测试、迭代,而非等待完美计划在初创环境中依然冷静高效 —— 不惧从零开始或变化快速重视速度 —— 优先交付有价值的产品,而非追求完美版本视反馈与失败为成长的一部分 —— 持续进阶自己的技能拥有谦逊、进取心与执行力,并在协作中带动他人前进任职要求有使用 vLLM、HuggingFace TGI 等模型推理平台的经验熟悉 GPU 调度与资源编排,掌握 Kubernetes、Ray、Modal、RunPod、LambdaLabs 等工具具备根据流量动态监控推理延迟、成本并高效扩展系统的能力熟悉为后端工程师设置推理 API 接口的流程与规范你将获得扁平化团队结构与真实项目主导权全程参与产品方向与决策制定灵活办公制度高影响力角色,跨产品、数据与工程多团队协作顶尖市场薪酬 + 绩效奖金全球化产品开发机会丰厚福利:住房租赁补贴、优质公司食堂、加班餐补健康、牙科与视力保险全球差旅保险(适用于你与家属)无限制、弹性带薪休假团队与文化我们是一支高密度、高绩效的团队,专注于高质量产品与全球影响力。我们像主人一样承担责任,重视速度、清晰与极致执行。如果你渴望成长并追求卓越,欢迎加入我们!关于 BJAKBJAK 是东南亚最大的保险聚合平台,服务用户超过 800 万,且由员工全资持股。公司总部位于马来西亚,在泰国、台湾与日本设有业务。我们通过 Bjak.com 帮助数百万用户获取透明且可负担的金融保障。我们通过 API、自动化与 AI 等前沿科技,简化复杂金融产品,致力于打造下一代智能金融系统。如果你对构建真正落地的 AI 系统充满热情,并希望在高影响力环境中快速成长,我们期待与你相遇!----------------------------------------------------------------------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 DoRun and manage open-source models efficiently, optimizing for cost and reliabilityEnsure high performance and stability across GPU, CPU, and memory resourcesMonitor and troubleshoot model inference to maintain low latency and high throughputCollaborate with engineers to implement scalable and reliable model serving solutionsWhat 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.RequirementsExperience with model serving platforms such as vLLM or HuggingFace TGIProficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabsAbility to monitor latency, costs, and scale systems efficiently with traffic demandsExperience setting up inference endpoints for backend engineersWhat 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.
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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MLOps エンジニア (MLOps Engineer)

Bjak
-
JP.svg
Japan
Full-time
Remote
false
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効率的に運用・最適化し、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。主な業務内容オープンソースモデルを効率的に運用・管理し、コストと信頼性を最適化するGPU、CPU、メモリリソース全体で高いパフォーマンスと安定性を確保するモデル推論を監視・トラブルシューティングし、低レイテンシーと高スループットを維持するエンジニアと協力し、スケーラブルで信頼性の高いモデルサービングソリューションを実装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特有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vLLM や HuggingFace TGI などのモデルサービングプラットフォームの使用経験Kubernetes、Ray、Modal、RunPod、LambdaLabs などを用いた GPU オーケストレーションの経験レイテンシーやコストを監視し、トラフィック需要に応じて効率的にシステムをスケールできる能力バックエンドエンジニア向けの推論エンドポイントの構築経験待遇・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 DoRun and manage open-source models efficiently, optimizing for cost and reliabilityEnsure high performance and stability across GPU, CPU, and memory resourcesMonitor and troubleshoot model inference to maintain low latency and high throughputCollaborate with engineers to implement scalable and reliable model serving solutionsWhat 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.RequirementsExperience with model serving platforms such as vLLM or HuggingFace TGIProficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabsAbility to monitor latency, costs, and scale systems efficiently with traffic demandsExperience setting up inference endpoints for backend engineersWhat 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.
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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MLOps 엔지니어 (MLOps Engineer)

Bjak
-
KR.svg
South Korea
Full-time
Remote
false
언어 모델을 현실 세계의 애플리케이션으로 전환하기우리는 전 세계 사용자를 위한 AI 시스템을 구축하고 있습니다. 지금은 AI 전환의 시대이며, 이 새로운 프로젝트 팀은 현실 세계에서 더 큰 영향력과 글로벌 활용성을 실현하는 애플리케이션 개발에 집중하고 있습니다.이 포지션은 글로벌 역할이며, 유연한 원격 근무와 본사 오피스 협업을 결합한 하이브리드 근무 방식을 채택합니다. 제품, 엔지니어링, 운영, 인프라, 데이터 등 각 지역 팀과 긴밀히 협력하여 영향력 있는 AI 솔루션을 개발하고 확장하게 됩니다.이 역할이 중요한 이유최신 모델을 효율적으로 실행·관리하고, 평가 프레임워크를 설계하며, AI 기능을 실제 서비스 환경에 도입합니다. 당신의 업무는 모델이 단순히 지능적일 뿐만 아니라, 안전하고 신뢰할 수 있으며, 대규모 환경에서 효과적으로 작동하도록 보장합니다.주요 업무오픈소스 모델을 효율적으로 실행·관리하고, 비용과 신뢰성을 최적화GPU, CPU, 메모리 리소스 전반에서 높은 성능과 안정성 확보모델 추론을 모니터링 및 트러블슈팅하여 낮은 지연 시간과 높은 처리량 유지엔지니어와 협력해 확장 가능하고 신뢰성 있는 모델 서빙 솔루션 구현이런 분을 찾습니다주도성과 독립성을 중시하는 분“명확함은 실행에서 나온다”는 믿음을 가지고, 완벽한 계획을 기다리기보다 프로토타입·테스트·반복을 통해 실행하는 분스타트업 환경의 혼란 속에서도 침착하고 효과적으로 일할 수 있는 분 —— 우선순위 변화나 제로 베이스 구축도 두려워하지 않는 분속도 지향적으로, 완벽한 결과보다 지금 가치 있는 무언가를 전달하는 것을 중요하게 여기는 분피드백과 실패를 성장의 일부로 보고, 지속적으로 실력을 발전시키려는 분겸손함, 배움에 대한 열정, 실행력을 가지고 있으며, 동료들과 함께 성장하는 분자격 요건vLLM, HuggingFace TGI 등의 모델 서빙 플랫폼 사용 경험Kubernetes, Ray, Modal, RunPod, LambdaLabs 등을 활용한 GPU 오케스트레이션 경험트래픽 수요에 따라 지연 시간·비용을 모니터링하고 시스템을 효율적으로 확장할 수 있는 능력백엔드 엔지니어를 위한 추론 엔드포인트 설정 경험혜택 및 보상수평적 조직 구조와 진정한 오너십제품 방향성과 합의 기반 의사결정에 전면적으로 참여유연한 근무 형태제품, 데이터, 엔지니어링 전반에 걸쳐 높은 영향력을 가지는 역할업계 최고 수준의 보상 및 성과 기반 보너스글로벌 제품 개발에 참여할 기회다양한 복지 —— 주택 임대 보조, 우수한 회사 구내식당, 야근 식사 제공건강, 치과, 안과 보험본인 및 가족을 위한 글로벌 여행 보험무제한·유연한 휴가 제도팀과 문화우리는 고밀도·고성과 팀으로, 고품질의 업무와 글로벌 임팩트에 집중합니다. 우리는 주인의식으로 행동하며, 속도, 명확함, 끊임없는 책임감을 중시합니다. 성장 욕구가 크고, 탁월함을 진심으로 추구하는 분이라면 함께 하기를 기대합니다.회사 소개: BJAKBJAK은 동남아시아 최대의 보험 비교 플랫폼으로, 800만 명 이상의 사용자를 보유하고 있으며, 직원이 100% 지분을 소유한 회사입니다. 본사는 말레이시아에 있으며, 태국, 대만, 일본에서도 운영되고 있습니다.우리는 Bjak.com을 통해 수백만 명의 사용자에게 투명하고 합리적인 금융 보호를 제공합니다. 또한, API, 자동화, AI 등 최첨단 기술을 활용해 복잡한 금융 상품을 단순화하고, 차세대 지능형 금융 시스템을 구축하고 있습니다.현실 세계에 영향을 미치는 AI 시스템을 구축하고, 임팩트 있는 환경에서 빠르게 성장하고 싶다면, 지금 바로 지원하세요!----------------------------------------------------------------------Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoRun and manage open-source models efficiently, optimizing for cost and reliabilityEnsure high performance and stability across GPU, CPU, and memory resourcesMonitor and troubleshoot model inference to maintain low latency and high throughputCollaborate with engineers to implement scalable and reliable model serving solutionsWhat 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.RequirementsExperience with model serving platforms such as vLLM or HuggingFace TGIProficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabsAbility to monitor latency, costs, and scale systems efficiently with traffic demandsExperience setting up inference endpoints for backend engineersWhat 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.
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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MLOps Engineer

Bjak
-
GE.svg
Germany
Full-time
Remote
false
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 DoRun and manage open-source models efficiently, optimizing for cost and reliabilityEnsure high performance and stability across GPU, CPU, and memory resourcesMonitor and troubleshoot model inference to maintain low latency and high throughputCollaborate with engineers to implement scalable and reliable model serving solutionsWhat 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.RequirementsExperience with model serving platforms such as vLLM or HuggingFace TGIProficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabsAbility to monitor latency, costs, and scale systems efficiently with traffic demandsExperience setting up inference endpoints for backend engineersWhat 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.
MLOps / DevOps Engineer
Data Science & Analytics
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MLOps Engineer

Bjak
-
GB.svg
United Kingdom
Full-time
Remote
false
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 DoRun and manage open-source models efficiently, optimizing for cost and reliabilityEnsure high performance and stability across GPU, CPU, and memory resourcesMonitor and troubleshoot model inference to maintain low latency and high throughputCollaborate with engineers to implement scalable and reliable model serving solutionsWhat 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.RequirementsExperience with model serving platforms such as vLLM or HuggingFace TGIProficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabsAbility to monitor latency, costs, and scale systems efficiently with traffic demandsExperience setting up inference endpoints for backend engineersWhat 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.
MLOps / DevOps Engineer
Data Science & Analytics
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MLOps Engineer

Bjak
-
HK.svg
Hong Kong
Full-time
Remote
false
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 DoRun and manage open-source models efficiently, optimizing for cost and reliabilityEnsure high performance and stability across GPU, CPU, and memory resourcesMonitor and troubleshoot model inference to maintain low latency and high throughputCollaborate with engineers to implement scalable and reliable model serving solutionsWhat 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.RequirementsExperience with model serving platforms such as vLLM or HuggingFace TGIProficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabsAbility to monitor latency, costs, and scale systems efficiently with traffic demandsExperience setting up inference endpoints for backend engineersWhat 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.
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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Product Manager

Distyl
-
US.svg
United States
Full-time
Remote
false
About DistylDistyl partners with the Global Fortune 1000 to lead $100M+ transformations through AI-native automation of core operations. Backed by Lightspeed, Khosla, and Coatue, we operate like a special ops team: fast, outcome-driven, and focused on solving high-stakes enterprise challenges. Our team blends elite talent from tech, strategy, and government to build the future of AI-powered enterprise operations.About the RoleWe are looking for a Product Manager for the Contact Center business line. You’ll codify our repeatable Contact Center solution, including the SME Workbench, Agent Assist, and Remedy Layer, into a scalable, modular stack that can power deployments across telecom, travel, healthcare, and beyond.You will own roadmap definition, modularity, and cross-functional alignment for one of Distyl’s flagship solution areas, the Contact Center, a horizontal CX function with multi-industry impact. You should be energized by ambiguity and biased toward modularization and reuse over one-off solutions.Key ResponsibilitiesOwn the Roadmap: Define and manage the roadmap for the Contact Center solution stack, with a focus on modularity and reuseShape the Solution: Drive SME-facing tool development (SME Workbench, Agent Assist v1, Closed-Loop Optimizer, Remedy Layer modularization)Customer Engagement: Partner directly with flagship enterprise customers to capture feedback and validate product directionDeployment Feedback Loops: Partner with Implementation Leads to capture learnings from deployments and codify them into scalable templatesCross-Functional Alignment: Act as the central node between Engineering/AI, Implementation, GTM, and StrategyMarket Research & Competitive Intelligence: Track evolving trends in contact center platforms, applied AI, and vertical-specific needsSupport GTM: Collaborate with GTM teams on pricing, packaging, analyst briefings, and case studiesInstrument & Optimize: Establish usage metrics and outcome tracking, closing the loop with AI Engineers to improve performanceQualifications10+ years experienceProduct management experience in contact center / communications platformsBackground in growth and adoption systems (onboarding, experimentation, PLG)Strong GTM fluency (launches, pricing, analyst engagement, positioning)Experience in early-stage execution environmentsFamiliarity with applied AI productsWhy Join Us?We’re less concerned with the perfect résumé and more with how you think and how you show up. Distyl seeks individuals who combine sharp intellect with emotional intelligence, thrive in ambiguity, and have a history of undertaking challenging or unusual tasks that have shaped their approach to operating under pressure.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in both locations.
Product Manager
Product & Operations
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Software Engineer - ML Developer Experience

Anyscale
-
No items found.
Full-time
Remote
false
About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the role:The ML Development Platform team is responsible for creating the suite of tools and services that enable users to create production quality applications using Ray. The product is the user’s primary interface into the world of Anyscale and by building a polished, stable, and well-designed product, we are able to enable a magical developer experience for our users.   This team provides the interface for administering Anyscale components including Anyscale workspaces, production and development tools, ML Ops tools and integrations, and more. Beyond the user-facing features, engineers help build out critical pieces of infrastructure and architecture needed to power our platform at scale.  With a taste for good products, a willingness to work with and understand the user base, and technical talent to build high quality software, the engineers can help build a delightful experience for our users from new developers learning to use Ray to businesses powering their products on Anyscale. As part of this role you will:Develop a next-gen ML Ops platform and development tooling centered around RayBuild high quality frameworks for accelerating the AI development lifecycle from data preparation to training to production servingWork with a team of leading distributed systems and machine learning expertsCommunicate your work to a broader audience through talks, tutorials, and blog postsWe'd love to hear from you if you have:At least 5 years of backend development with a solid background in algorithms, data structures, and system designExperience working with modern machine learning tooling, including PyTorch, MLFlow, data catalogs, etc.Familiarity with technologies such as Python, FastAPI, or SQLAlchemyMotivated people who are excited to build tools to power the next generation of cloud applications!Bonus points if you have:Experience in building and maintaining open-source projects.Experience in building and operating machine learning infrastructure in production.Experience in building highly available serving systems.A snapshot of projects you might work on:Full stack work on Anyscale workspaces, debugging and dependency management on AnyscaleDevelopment of new ML Ops tooling and capabilities, like dataset management, experiment and lineage tracking, etc.Lead the development of the Anyscale SDK, authentication, etc.Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
MLOps / DevOps Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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机器学习工程师(扩散模型 / 视觉方向) Machine Learning Engineer (Diffusion/Vision)

Bjak
-
CN.svg
China
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
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Machine Learning Engineer (Diffusion/Vision)

Bjak
-
GB.svg
United Kingdom
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
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머신러닝 엔지니어 (확산 모델 / 비전) Machine Learning Engineer (Diffusion/Vision)

Bjak
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KR.svg
South Korea
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
Apply
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Machine Learning Engineer (Diffusion/Vision)

Bjak
-
HK.svg
Hong Kong
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
Software Engineer
Software Engineering
Apply
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機器學習工程師 (擴散模型/電腦視覺) / Machine Learning Engineer (Diffusion/Vision)

Bjak
-
TW.svg
Taiwan
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
Apply
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Machine Learning Engineer (Diffusion/Vision)

Bjak
-
US.svg
United States
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
Apply
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Machine Learning Engineer (Diffusion/Vision)

Bjak
0
0
-
0
GE.svg
Germany
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
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機械学習エンジニア(拡散モデル/ビジョン)Machine Learning Engineer (Diffusion/Vision)

Bjak
-
JP.svg
Japan
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
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Machine Learning Engineer (LLM)

Bjak
-
US.svg
United States
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
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Senior Site Reliability Engineer

Stability AI
0
0
-
0
US.svg
United States
Full-time
Remote
true
< Remote - United States > Job Description: Stability AI’s Engineering Operations team is looking for a Senior Site Reliability Engineer (SRE) to join our growing team and play a pivotal role in improving and shaping our cloud infrastructure. The person will closely work with engineering, IT, security, and product teams to drive innovation and reliability in an evolving environment. Candidates should have the initiative to build and improve a maturing cloud landscape. Responsibilities: Developing and enforcing SRE best practices and standards across the organization. Architecting and managing scalable systems in AWS and other cloud environments, focusing on high availability and resilience. Implementing and maintaining infrastructure as code using Terraform. Setting up and refining monitoring, logging, and alerting systems. Driving incident management and root cause analysis to improve system reliability. Championing SRE principles and mentoring junior team members. Qualifications: Collaborating with development teams to enhance CI/CD pipelines. Experience scaling resource intensive systems, be it storage, networking, or compute. Knowledge and experience with Kubernetes or other container scaling solutions Background in software development or automation scripting. Knowledge and experience with Grafana, ELK stack, or similar tools. Cloud security experience. 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.  
MLOps / DevOps Engineer
Data Science & Analytics
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Machine Learning Engineer (LLM)

Bjak
-
GE.svg
Germany
Full-time
Remote
false
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.
Machine Learning Engineer
Data Science & Analytics
Apply
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機械学習エンジニア(LLM)Machine Learning Engineer (LLM)

Bjak
-
JP.svg
Japan
Full-time
Remote
false
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.
Machine Learning Engineer
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