Top Machine Learning Engineer Jobs Openings in 2025

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.     About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-AB1 #LI-Onsite   Compensation$134,400—$168,000 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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INTERNSHIPAbout H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.We have multiple Graduation/Final year Internships available in our Research lab as well as engineering team.We are excited to tell you more !Location:ParisWhat We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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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.

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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.

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ML Solutions Engineer (ROCm Portability)At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:We are seeking an exceptional ML Solutions Engineer who specializes in GPU portability and performance optimization. This is a senior-level role for someone who has significant experience with CUDA, ROCm, and kernel development, and is passionate about enabling workloads to run efficiently on AMD hardware.As a technical expert, you will help migrate and optimize CUDA-based workloads to ROCm, working with both internal teams and third-party developers. You will play a critical role in advancing our ROCm enablement strategy and driving adoption across the ecosystem.Key Responsibilities:Partner with customers, internal engineering, and third-party developers to migrate CUDA workloads to ROCm.Profile, debug, and optimize GPU kernels for performance, scalability, and efficiency.Contribute to ROCm enablement across open source ML frameworks and libraries.Leverage tools such as Composable Kernel, HIP, PyTorch/XLA, and RCCL to enable and tune distributed training workloads.Provide technical guidance on best practices for GPU portability, including kernel-level optimizations, mixed precision, and memory hierarchy usage.Act as a technical liaison, translating customer requirements into actionable engineering work.Create internal documentation, playbooks, and training material to scale knowledge across teams.Represent TensorWave in the broader ROCm ecosystem through contributions, collaboration, and customer advocacy. Qualifications:Must-Have:5+ years of experience in GPU programming, ML infrastructure, or HPC roles.Strong hands-on experience with CUDA, HIP, and ROCm.Proficiency in kernel development (e.g., CUDA, HIP, Composable Kernel, Triton).Deep knowledge of GPU performance profiling tools (Nsight, rocprof, perf, etc.).Understanding of distributed ML workloads (e.g., PyTorch Distributed, MPI, RCCL).Proven ability to work in customer-facing technical roles, including solution design and workload migration.Strong programming skills in Python, C++, and GPU kernel languages.Nice-to-Have:Contributions to ROCm-enabled open source ML frameworks (PyTorch, Megatron, vLLM, SGLang, etc.).Familiarity with compiler technology (LLVM, MLIR, XLA).Experience with containerized environments and Kubernetes for GPU workloads.Knowledge of performance modeling for multi-GPU and multi-node workloads.Familiarity with AI/ML workload benchmarking and tuning at scale.Foundation in networking, especially as it pertains to RDMA, RoCE, and Infiniband.What Success Looks LikeCustomers successfully migrate and optimize their CUDA workloads to ROCm, with measurable performance gains.Strong collaboration between internal engineering and external developers leads to faster enablement of ROCm workloads.Best practices, playbooks, and tooling are well-documented and continuously improved.Make GPUs go Brrrrrrr What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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ML Cluster Operations Engineer (Slurm / K8s)At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:We are seeking an exceptional Machine Learning Engineer who has made training and AI workload scheduling a specialty. This is a senior-level role for someone who has significant experience managing distributed machine learning workloads at scale using Slurm and/or Kubernetes.As a technical visionary and hands-on expert, you will lead the evolution of our managed Slurm and Kubernetes offerings, as well as internal health checking and cluster automation.Key Responsibilities:Manage and iterate our containerized Slurm (Slurm-in-Kubernetes) solution, including customer configuration and deployment.Work closely with our engineering team to develop and maintain CI and automation for managed offerings.Ensure healthy cluster operations and uptime by implementing active and passive health checks, including automated node draining and triage.Help profile and debug distributed workloads, from small inference jobs to cluster-wide training.Establish best practices for running jobs at scale, including monitoring, checkpointing, etc.Mentor and upskill ML engineers in best practices. Qualifications:Must-Have:5+ years of experience in cloud infrastructure, HPC, or machine learning roles.Significant hands-on experience with Slurm in production HPC/ML environments, including understanding of setup/configuration, enroot (pyxis), modules, and MPI.Strong knowledge of distributed ML languages and frameworks, such as Python, PyTorch, Megatron, c10d, MPI, etc.Understanding of node lifecycle, including health checks, prolog / epilog scripts, and draining.Deep understanding of security, compliance, and resilience in containerized workloads.Nice-to-Have:3+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storage.Proficiency in writing Kubernetes manifests, Helm charts, and managing releases.Experience with DAGs using K8s native tools such as Argo Workflows.Foundation in networking, especially as it pertains to RDMA, RoCE, and Infiniband.Experience with low level kernel libraries, such as CUDA and Composable Kernel.Contributions to open-source projects or ML/AI tooling.What Success Looks LikeA production-grade integrated Slurm platform that can support thousands of GPUs, with self-healing, scaling, and strong observability.Infrastructure is resilient, secure, resource-optimized, and compliant.Best practices and tooling are well-documented, standardized, and continuously improved across the company.Make GPUs go Brrrrrrr What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!As an Applied AI Engineer, you’ll research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions—either by leveraging Snorkel Flow or developing custom approaches when needed—to solve high-impact customer problems. You will also help define Snorkel’s Applied AI tooling and workflows by translating real-world customer challenges into reusable patterns, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value, while staying naturally curious about the tools, workflows, and infrastructure that underpin the AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Annual travel up to 25%. Preferred Qualifications B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), and LLM orchestration, workflow, and agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI). Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $275K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US #LI-CG1Salary Range $172,000—$275,000 USDBe Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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

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

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

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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 remote work arrangement. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - 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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About UsAt Bjak, we are committed to making financial services more accessible, affordable, and sustainable across ASEAN. Headquartered in Malaysia, Bjak is the largest insurance platform in Southeast Asia, helping millions find the best value and highest coverage insurance policies through our platform, Bjak.com.We leverage cutting-edge technology, including Custom APIs, trading systems, and data science, to simplify financial services that were once complex and inaccessible. Our expertise in navigating complex regulations has enabled us to develop innovative products, such as offering investment-linked life and health insurance online with instant agent support.The role is open to Singaporean citizens and Permanent Residents (PRs) based in Singapore, who are willing to relocate to Malaysia or work remotely from Singapore while collaborating closely with our Malaysia-based team.Key ResponsibilitiesCollaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines.Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.Manage the end-to-end AI model lifecycle, including data collection, pre processing, model training, evaluation, and deployment.Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.Optimize AI models for scalability, efficiency, and security.Utilize data-driven insights and advanced analytics for continuous improvements.Conduct research to explore and integrate innovative AI techniques.RequirementsBachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist.Strong proficiency in Python is a mustProficiency in AI and machine learning frameworks and programming languages (e.g., TensorFlow, PyTorch).Expertise in data pre processing, feature engineering, and model evaluation.Strong problem-solving and analytical thinking skills.Effective communication and teamwork abilities.Must be a Singaporean citizen or Permanent Resident (PR).Must be willing to relocate to Malaysia or work remotely from Singapore.BenefitsRemote work arrangement Open to remote work from Singapore for suitable candidatesWork closely with an international team based in MalaysiaDynamic and fast-paced work environmentAttractive remuneration and performance incentivesStrong learning and career growth opportunitiesCompetitive salary

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

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

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📍 근무 형태: 한국 (재택근무 – 한국 내 어디서든 근무 가능)동남아시아 금융 접근의 미래를 이끄는 AI를 설계하세요BJAK은 AI를 활용해 사기 탐지, 리스크 모델링, 초개인화된 금융 경험 등 실제적인 문제를 해결하며, 보험과 금융 서비스를 보다 쉽게 접근 가능하도록 만들고 있습니다. 저희는 한국 기반의 Lead AI Engineer를 모시고, 차세대 지능형 시스템을 설계하고 확장하며 리딩할 핵심 역할을 맡기고자 합니다.이 포지션은 깊은 기술 전문성과 실무 리더십을 겸비한 역할로, AI 총괄(Head of AI)에게 직접 리포트하며 전략 수립, 코드 작성, 팀 멘토링, 그리고 AI 엔지니어링 팀의 성장을 함께 이끌게 됩니다.왜 이 포지션이 중요한가요?수백만 명에게 서비스되는 핵심 AI 시스템을 설계하고 배포합니다AI 총괄의 핵심 파트너로서 기술 실행 및 엔지니어링 기준을 리드합니다주니어 엔지니어들을 리딩하고 멘토링하며 팀 전체 성과를 끌어올립니다고성과 AI 팀을 채용하고 확장하는 데 중요한 역할을 맡습니다주요 업무고임팩트 사례를 위한 프로덕션 수준의 머신러닝 모델을 설계, 구축 및 배포모델 아키텍처, 데이터 파이프라인, 배포 전략 리딩제품, 엔지니어링, 데이터 팀과 협업하여 AI 이니셔티브를 추진데이터 준비부터 배포 및 모니터링까지, ML 생애주기 전체를 책임코드 리뷰, 프로젝트 가이드, 기술 난제 해결을 위한 멘토링실험, 지속적인 학습, AI 모범 사례를 장려하고 실천후보자 인터뷰 및 평가에 참여하여 AI 채용과 팀 빌딩 기여최신 ML 기술 동향을 선도적으로 반영하고 실제 시스템에 도입이런 분이라면 잘 맞습니다코드로 리드하고, 주변 팀원들을 끌어올릴 수 있는 분오너십 마인드로 문제 해결에 주도적으로 나서는 분빠른 실행과 깊은 사고력을 바탕으로 균형 잡힌 결정을 내리는 분혼란 속에서도 구조와 방향성을 제시하며 명확성을 추구하는 분출시 결과에 집중하며 실제 문제 해결에 몰입하는 분기술뿐 아니라 팀을 성장시키는 데 즐거움을 느끼는 분우선순위 변화와 불확실성 속에서도 자신감을 가지고 대응하는 분프로토타입부터 시작해 빠르게 개선하고 반복을 즐기는 빌더 마인드 보유지속적으로 기술, 제품, 리더십 역량을 향상시키고자 하는 분자격 요건컴퓨터공학, 소프트웨어공학, 관련 전공의 학사 또는 석사 학위Python에 대한 높은 숙련도가 반드시 필요합니다AI/ML 분야에서 4~6년 이상의 실무 및 프로덕션 적용 경험Python 활용 능력 우수, TensorFlow, PyTorch, Scikit-learn 등 프레임워크에 숙련데이터 파이프라인, 학습, 검증, 모니터링까지 전체 ML 프로세스에 대한 이해추천, 사기 탐지, 리스크 분석, 자연어 처리 등 실제 AI 문제 경험기술적 리더십 및 멘토링 경력 보유커뮤니케이션 및 협업 능력 탁월한국 거주 중이며, 지역 팀과 원격으로 협업 가능해야 함우대 사항MLflow, Airflow, Docker, GCP/AWS 등 MLOps 도구 사용 경험책임감 있는 AI 개발 경험 (공정성, 해석 가능성, 모델 거버넌스 등)스타트업 또는 스케일업 조직에서의 경험내부 도구, 재사용 가능한 ML 컴포넌트, AI 플랫폼 개발 경험제공 혜택경쟁력 있는 연봉 및 성과 기반 보너스한국 어디서나 자유롭게 일할 수 있는 완전 원격 및 유연한 근무동남아 시장 전체에 영향을 미치는 높은 오너십과 가시성AI 총괄에게 직접 리포팅하며, 경영진과 직접 협업성장하는 AI 팀을 주도하고 리딩할 수 있는 기회빠르게 성장할 수 있는 환경에서 커리어와 기술 역량 동시 성장수평적이고 빠른 실행을 중시하는 팀 문화회사 소개BJAK은 동남아 최대의 디지털 보험 플랫폼으로, 수백만 명의 사용자가 투명하고 저렴한 금융 보호를 받을 수 있도록 지원하고 있습니다. 본사는 말레이시아에 위치하며, 태국, 대만, 일본에도 운영 거점을 두고 있습니다. AI, 자동화, 스마트 API를 기반으로 복잡한 금융 서비스를 빠르고 공정하게 만들고 있으며, 개인화된 가격 엔진, 지능형 자동화, 사기 탐지 기술을 통해 금융 접근성을 새롭게 정의하고 있습니다.실제 문제를 해결하고, 빠르게 실행하며, 영향력을 만들고 싶은 분을 기다립니다. 큰 비전을 가진 팀과 함께 성장하고 싶다면, BJAK에서 여러분의 도전을 기다립니다.--------------------------------------------------------------------------------📍 Working Arrangement: Korea (Remote - work from anywhere in Korea)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Korea to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Korea and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in KoreaHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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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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📍 근무 형태: 한국 (재택근무 – 한국 내 어디서든 근무 가능)금융을 더 간단하고, 더 스마트하며, 더 포용적으로 만드는 AI 시스템 구축BJAK은 인공지능을 활용해 수백만 명의 동남아시아 사용자가 보험 및 금융 서비스를 더 쉽게 접근하고, 이해하고, 감당할 수 있도록 돕고 있습니다. AI소프트웨어 엔지니어로서, 개인화 추천, 사기 탐지, 자동화, 검색 등 핵심 기능을 구동하는 지능형 시스템을 구축하게 됩니다.이 포지션은 한국에 거주하며, 말레이시아 본사 및 동남아 지역 팀과 긴밀히 협업하는 원격 근무 기반의 역할입니다. 빠르게 움직이고 수평적인 구조의 팀에서 실행력과 아이디어로 매일 실질적인 결과를 만들어낼 수 있습니다.왜 이 포지션이 중요한가사용자 경험, 효율성, 플랫폼 지능에 직접적인 영향을 미칩니다수백만 명에게 제공되는 프로덕션 AI 시스템 구축에 기여합니다다양한 기능 부서와 협업하며 확장 가능한 ML 도구를 처음부터 설계합니다작고 효율적인 엔지니어링 환경에서 빠르게 성장할 수 있습니다주요 업무제품, 데이터, 엔지니어링 팀과 협업하여 ML 목표 및 기술 전략을 수립개인화, 자동화, 인사이트 생성을 위한 머신러닝 모델을 설계·구축·배포데이터 전처리, 피처 엔지니어링, 모델 학습, 평가, 배포 등 전체 ML 수명 주기 관리확장 가능한 ML 인프라 및 배포 파이프라인 구축ML 출력 결과를 사용자 중심 제품 및 백엔드 시스템에 통합최신 AI/ML 트렌드를 파악하고, 이를 실제 스택에 적용프로덕션 ML 시스템의 디버깅, 테스트, 성능 최적화 지원이런 분이라면 잘 맞습니다모델만 만드는 것이 아니라 실제 결과를 내는 데 책임감을 가지는 분명확한 가이드 없이도 스스로 문제를 파악하고 해결할 수 있는 분빠르게 움직이며, 개선을 반복하는 환경을 즐기는 분데이터에서 배포까지 전체 문제를 끝까지 책임지는 분겸손하고 협력적인 태도로 팀의 수준을 높이는 분변화와 모호함 속에서도 방향성을 만들어내는 분피드백과 학습을 통해 매일 발전하려는 자세를 가진 분자격 요건컴퓨터공학, 데이터과학, 엔지니어링 등 관련 기술 전공 학사 또는 석사 학위Python에 대한 높은 숙련도가 반드시 필요합니다머신러닝 또는 백엔드 소프트웨어 개발 분야에서 2~4년의 경력Python에 능숙하며, TensorFlow, PyTorch, Scikit-learn 등 프레임워크 경험데이터 전처리, 모델 설계, 튜닝, 평가 등 ML 워크플로우에 대한 탄탄한 이해모델 배포, API 개발, 실무 통합 경험Google Colab, Jupyter, 클라우드 기반 ML 플랫폼 사용 경험뛰어난 분석력, 문제 해결 능력, 커뮤니케이션 역량한국에 거주하며, 시차를 고려한 원격 협업이 가능한 분우대 사항자연어처리(NLP), 컴퓨터 비전, 추천 시스템 관련 경험AWS, GCP, Azure 등 클라우드 서비스 사용 경험Docker, Git, CI/CD 도구 사용 경험스타트업 또는 빠르게 성장하는 제품팀에서의 근무 경험혜택경쟁력 있는 급여 및 성과 기반 보너스한국 어디서든 가능한 유연한 완전 재택근무아시아 수백만 명에게 도달하는 실제 임팩트 있는 업무수평적 구조에서 아이디어가 존중받고, 기여가 보이는 환경빠른 학습 곡선과 기술적·개인적 성장 기회동남아 지역 팀과의 협업을 통한 광역 시장 경험회사 소개BJAK은 동남아시아 최대의 디지털 보험 플랫폼으로, 수백만 명의 사용자가 합리적이고 투명한 금융 보호에 접근할 수 있도록 돕고 있습니다. 말레이시아 본사를 중심으로 태국, 대만, 일본에 걸쳐 운영되고 있으며, 인공지능, 자동화, 스마트 API를 통해 금융 서비스를 더 간단하고 공정하게 만듭니다. 복잡한 금융 시스템을 단순화하고, 사용자 중심의 경험을 제공하기 위해 끊임없이 혁신하고 있습니다.실제 문제를 머신러닝으로 해결하고 싶은 분, 빠르게 움직이고 임팩트를 만들고 싶은 분을 기다립니다.----------------------------------------------------------------------------------📍 Working arrangement: Korea (Remote - work from anywhere in Korea)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in Korea, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentStrong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in Korea and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in KoreaDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 근무 형태: 한국 (원격 – 한국 내 어디에서든 근무 가능)모델부터 UI까지, 지능형 시스템을 설계하고 구축하세요BJAK은 동남아시아 전역의 금융 서비스를 더 스마트하고 단순하며 포용적으로 만들기 위해 AI를 활용하고 있습니다. AI 엔지니어로서, 머신러닝과 소프트웨어 엔지니어링을 연결하여 사용자에게 실제 AI 기반 기능을 제공합니다.이 역할은 한국 원격 기반이며, 말레이시아 본사 및 동남아시아 각지의 팀과 긴밀히 협업하게 됩니다. 백엔드 로직과 ML 통합부터 프론트엔드까지 전반적인 시스템을 구축하며, 빠르게 확장 가능한 인텔리전트 서비스를 만듭니다.이 역할이 중요한 이유AI 모델과 사용자 경험을 연결하는 핵심 역할을 맡습니다수백만 명이 스마트 금융 서비스를 사용하는 방식을 설계합니다백엔드, ML, 프론트엔드를 아우르는 풀스택 시스템을 설계하고 구축합니다빠르게 움직이고 협업 중심의 팀에서 진정한 임팩트를 창출합니다주요 업무ML 모델을 통합한 풀스택 애플리케이션 개발 및 배포데이터 사이언티스트 및 ML 엔지니어와 협업하여 모델을 확장 가능한 백엔드에 통합지능형 기능을 위한 API, 백엔드 서비스, 실시간 데이터 파이프라인 개발AI 인사이트를 사용자에게 전달할 수 있는 직관적인 UI 설계설계, 테스트, 배포, 모니터링까지 전반적인 개발 라이프사이클 책임제품, 디자인, 엔지니어링 팀과 협업하여 완성도 높은 솔루션 출시AI 통합 애플리케이션의 성능, 사용성, 신뢰성 지속 개선이런 분이라면 BJAK에서 잘 맞습니다결과 중심 사고 – 코드가 아닌 임팩트에 집중하는 분문제를 처음부터 끝까지 해결하는 분 – 데이터부터 UI까지빠르게 만들고 더 빠르게 개선하는 분 – 지금의 V1이 언젠가의 V3보다 낫다고 생각하는 분불확실성, 혼란, 자원 제약 속에서도 움직이는 것을 즐기는 분창업가처럼 사고하는 분 – 지시 없이도 문제를 파악하고 해결하는 분새로운 도구, 프레임워크, 실패에서 배움을 얻는 분겸손하게 배우고, 팀원과 함께 성장하는 분에너지, 명확성, 실행력을 가지고 팀의 기준을 높이는 분자격 요건컴퓨터공학, 소프트웨어 엔지니어링 또는 유관 전공 학사 학위Python에 대한 높은 숙련도가 반드시 필요합니다프론트엔드 및 백엔드를 포함한 풀스택 개발 2~4년 경험Python 및 JavaScript(Node.js, React 등) 숙련ML 모델의 프로덕션 통합 경험REST API, 클라우드 배포, 확장 가능한 아키텍처에 대한 이해SQL/NoSQL 데이터베이스 및 분산 시스템 사용 경험소프트웨어 설계 패턴, 테스팅, 디버깅에 대한 깊은 이해한국 거주자이며, 글로벌 팀과의 원격 협업에 열려 있는 분우대 사항FastAPI, Flask, TensorFlow Serving 등을 활용한 ML 모델 배포 경험Next.js, Vue, TypeScript 등 최신 프론트엔드 스택 경험MLflow, Airflow, Docker, GCP, AWS 등 ML 툴 사용 경험고성장 스타트업 또는 애자일 팀 경험설명 가능한 AI, 시각화, 복잡한 ML 결과를 사용자에게 전달하는 기술에 관심 있는 분혜택 및 복지경쟁력 있는 급여 및 성과 기반 보너스한국 어디서든 근무 가능한 유연한 원격 근무제품 중심의 AI 회사에서 높은 임팩트와 책임을 경험할 수 있는 기회수평적인 구조 – 아이디어와 코드가 존중받는 환경엔지니어링, 데이터, 제품 전반에 대한 가시성과 성장 기회동남아시아 전역의 시장을 경험하고 제품에 영향을 줄 수 있는 기회회사 소개 – BJAKBJAK은 동남아시아 최대의 디지털 보험 플랫폼입니다. 말레이시아 본사를 중심으로 태국, 대만, 일본 등에서 운영 중이며, 수백만 명의 사용자가 스마트하고 투명한 금융 보호 서비스를 이용하고 있습니다. 우리는 자동화, 추천 엔진, 지능형 API를 통해 복잡한 금융 상품을 더 쉽게 접근하고 이해하며 이용할 수 있도록 만들고 있습니다.풀스택 엔지니어링을 통해 AI를 현실로 구현하고 싶고, 빠르게 실행하며 높은 책임감을 지닌 환경에서 성장하고 싶다면, BJAK에서 여러분의 도전을 기다립니다.-----------------------------------------------------------------------------------📍 Working arrangement: Korea (Remote - work from anywhere in Korea)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Korea, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in Korea and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in KoreaHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.