Bjak

You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation. | A bachelor's degree in a related technical field is required along with 2-4 years of experience in machine learning or backend software development. Strong proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch are essential. | 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, 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 Matters Your work will directly impact user experience, efficiency, and platform intelligence You’ll contribute to production-grade AI systems that serve millions You’ll collaborate across functions and build scalable ML tools from the ground up You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do Work with product, data, and engineering teams to define ML goals and technical strategies Design, build, and deploy machine learning models that power personalization, automation, and insight generation Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment Build scalable ML infrastructure and deployment pipelines Integrate ML outputs into user-facing products and backend systems Stay current with AI/ML trends and apply relevant innovations into our stack Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... Take full ownership - you don’t just build models, you make sure they drive real-world results Are a self-starter who figures things out fast, even when there’s no manual or roadmap Move with urgency - you adapt quickly, ship fast, and improve even faster Own problems end-to-end - from messy data to deployment, and everything in between Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off Learn obsessively and share openly - you level up fast and help others do the same Requirements Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field Strong proficiency in Python is a must 2 - 4 years of experience in machine learning or backend software development Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiar with model deployment, API development, or real-world ML integration Experience with tools like Google Colab, Jupyter, and cloud ML platforms Strong analytical, problem-solving, and communication skills Must be based in US and open to remote collaboration across time zones Nice to Have Experience with NLP, computer vision, or recommendation systems Familiarity with cloud services (e.g., AWS, GCP, Azure) Exposure to Docker, Git, or CI/CD tools Background working in a high-growth startup or agile product environment What You’ll Get Competitive salary and performance-based bonuses Flexible, fully remote work arrangement from anywhere in the US Direct impact - your work reaches millions of users across Asia Flat structure - your voice is heard, your contributions are seen Opportunities for rapid personal and technical growth Regional exposure and collaboration across Southeast Asia About BJAK BJAK 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.

You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation. | A bachelor's degree in a related technical field is required along with 2-4 years of experience in machine learning or backend software development. Strong proficiency in Python and familiarity with ML frameworks and deployment processes are essential. | 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, 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 Matters Your work will directly impact user experience, efficiency, and platform intelligence You’ll contribute to production-grade AI systems that serve millions You’ll collaborate across functions and build scalable ML tools from the ground up You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do Work with product, data, and engineering teams to define ML goals and technical strategies Design, build, and deploy machine learning models that power personalization, automation, and insight generation Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment Build scalable ML infrastructure and deployment pipelines Integrate ML outputs into user-facing products and backend systems Stay current with AI/ML trends and apply relevant innovations into our stack Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... Take full ownership - you don’t just build models, you make sure they drive real-world results Are a self-starter who figures things out fast, even when there’s no manual or roadmap Move with urgency - you adapt quickly, ship fast, and improve even faster Own problems end-to-end - from messy data to deployment, and everything in between Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off Learn obsessively and share openly - you level up fast and help others do the same Requirements Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field Strong proficiency in Python is a must 2 - 4 years of experience in machine learning or backend software development Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiar with model deployment, API development, or real-world ML integration Experience with tools like Google Colab, Jupyter, and cloud ML platforms Strong analytical, problem-solving, and communication skills Must be based in US and open to remote collaboration across time zones Nice to Have Experience with NLP, computer vision, or recommendation systems Familiarity with cloud services (e.g., AWS, GCP, Azure) Exposure to Docker, Git, or CI/CD tools Background working in a high-growth startup or agile product environment What You’ll Get Competitive salary and performance-based bonuses Flexible, fully remote work arrangement from anywhere in the US Direct impact - your work reaches millions of users across Asia Flat structure - your voice is heard, your contributions are seen Opportunities for rapid personal and technical growth Regional exposure and collaboration across Southeast Asia About BJAK BJAK 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.

You will run and manage open-source models efficiently, optimizing for cost and reliability. Additionally, you will ensure high performance and stability across GPU, CPU, and memory resources. | Experience with model serving platforms such as vLLM or HuggingFace TGI is required. Proficiency in GPU orchestration using tools like Kubernetes and Ray is also necessary. | Transform Language Models into Real-World Applications We’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 Matters You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. What You’ll Do Run and manage open-source models efficiently, optimizing for cost and reliability Ensure high performance and stability across GPU, CPU, and memory resources Monitor and troubleshoot model inference to maintain low latency and high throughput Collaborate with engineers to implement scalable and reliable model serving solutions What Is It Like Likes ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans. Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you. Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later. See feedback and failure as part of growth - you’re here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Experience with model serving platforms such as vLLM or HuggingFace TGI Proficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabs Ability to monitor latency, costs, and scale systems efficiently with traffic demands Experience setting up inference endpoints for backend engineers What You’ll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High-impact role with visibility across product, data, and engineering Top-of-market compensation and performance-based bonuses Global exposure to product development Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals Health, dental & vision insurance Global travel insurance (for you & your dependents) Unlimited, flexible time off Our Team & Culture We’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 Bjak BJAK 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.

Design, build, and deploy machine learning models and infrastructure to power AI-driven financial services. | Bachelor's degree with 2-4 years experience in machine learning or backend development, strong Python proficiency, and experience with ML frameworks and deployment. | 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, 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 Matters • Your work will directly impact user experience, efficiency, and platform intelligence • You’ll contribute to production-grade AI systems that serve millions • You’ll collaborate across functions and build scalable ML tools from the ground up • You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do • Work with product, data, and engineering teams to define ML goals and technical strategies • Design, build, and deploy machine learning models that power personalization, automation, and insight generation • Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment • Build scalable ML infrastructure and deployment pipelines • Integrate ML outputs into user-facing products and backend systems • Stay current with AI/ML trends and apply relevant innovations into our stack • Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... • Take full ownership - you don’t just build models, you make sure they drive real-world results • Are a self-starter who figures things out fast, even when there’s no manual or roadmap • Move with urgency - you adapt quickly, ship fast, and improve even faster • Own problems end-to-end - from messy data to deployment, and everything in between • Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you • Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off • Learn obsessively and share openly - you level up fast and help others do the same Requirements • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field • Strong proficiency in Python is a must • 2 - 4 years of experience in machine learning or backend software development • Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn • Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation • Familiar with model deployment, API development, or real-world ML integration • Experience with tools like Google Colab, Jupyter, and cloud ML platforms • Strong analytical, problem-solving, and communication skills • Must be based in US and open to remote collaboration across time zones Nice to Have • Experience with NLP, computer vision, or recommendation systems • Familiarity with cloud services (e.g., AWS, GCP, Azure) • Exposure to Docker, Git, or CI/CD tools • Background working in a high-growth startup or agile product environment What You’ll Get • Competitive salary and performance-based bonuses • Flexible, fully remote work arrangement from anywhere in the US • Direct impact - your work reaches millions of users across Asia • Flat structure - your voice is heard, your contributions are seen • Opportunities for rapid personal and technical growth • Regional exposure and collaboration across Southeast Asia About BJAK BJAK 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.