Bjak

Manage full-cycle technical recruitment for US-based engineering and product roles, building pipelines, and partnering with hiring managers. | Extensive experience in full-cycle technical recruitment, managing multiple roles, and assessing engineering talent, with strong communication skills. | About the role As Technical Talent Partner, Engineering (US), you will focus on end-to-end hiring for US-based technical roles supporting A1’s engineering and product teams. This is a hands-on recruiting role. You will spend most of your time sourcing, screening, coordinating, and closing candidates. Success is measured by speed, quality of hire, and consistency, not process design or policy work. You will work closely with engineering and product leaders to keep hiring focused, rigorous, and moving. What you will be doing Own the full recruitment lifecycle for US-based technical roles, from role intake through offer and onboarding support. Build strong candidate pipelines through direct sourcing and relationship-driven channels (LinkedIn, GitHub, referrals, engineering communities, outbound outreach). Partner closely with engineering and product hiring managers to clarify requirements, calibrate bar, and unblock decisions. Screen candidates for technical capability, ownership mindset, and execution strength. Coordinate interviews and feedback loops with speed, structure, and clarity. Maintain accurate hiring data in the ATS and provide clear pipeline updates. Contribute to building a strong technical hiring culture as the function scales. What you will need Strong experience in full-cycle technical recruitment, with solid exposure to the US hiring market. Proven ability to manage multiple technical roles in parallel in a fast-moving environment. Experience hiring engineers, data, product, or other technical functions. Strong intuition for technical profiles and how to assess real engineering talent. Clear and confident English communication (written and verbal). Comfort using ATS systems and tracking hiring metrics. High ownership, urgency, and follow-through. (Industry background is flexible. Strong technical recruiting experience matters more than domain.) Why join A1 Help build the core engineering team for a global AI application. Work closely with senior engineers, product leaders, and founders. High ownership, trust, and autonomy. Flat structure – execution and results matter more than titles. Competitive compensation with room to grow as the team scales.

Build and maintain end-to-end ML pipelines, fine-tune models, and deploy scalable inference systems. | Experience with large ML models, production-grade coding, and collaboration in high-trust teams. | About the Role A1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time. You will be responsible for turning research direction into working, production-grade ML systems. This role owns the execution layer of A1’s intelligence – training pipelines, inference systems, evaluation tooling, and deployment. What You'll Do Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Tech Stack Python PyTorch / JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. You are comfortable working with large models and understanding their failure modes. You write strong, production-grade code and care about system correctness. You are self-directed, pragmatic, and take full ownership of outcomes. You communicate clearly and collaborate well in small, high-trust teams. How We Work Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission. Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Manage end-to-end hiring processes for US-based product and engineering roles, including sourcing, screening, and coordinating interviews. | Extensive experience in full-cycle technical recruiting, ability to assess engineering talent, and strong communication skills. | About the role As Lead Technical Recruiter, Product & Engineering (US), you will own end-to-end hiring for A1’s US-based engineering and product roles. This is a hands-on role. You will personally drive critical hires while helping define how technical recruiting is done at A1. Success is measured by quality of hire, speed, and signal, not volume. You will work closely with founders, engineering leads, and product leadership to ensure we attract and close world-class candidates who thrive in small, high-bar teams. What you will be doing Own the full recruitment lifecycle for US-based product and engineering roles, from role intake through offer and onboarding support. Source and engage senior technical candidates through relationship-driven channels (direct outreach, referrals, engineering communities), not job boards alone. Partner closely with engineering and product leaders to clarify requirements, calibrate bar, and keep hiring decisions moving. Screen candidates for technical depth, judgment, ownership, and execution mindset. Coordinate interviews and feedback loops with speed, structure, and clarity. Maintain accurate hiring data in the ATS and provide clear pipeline updates to stakeholders. Help shape and raise the bar for A1’s technical hiring approach as the team scales. What you will need Strong experience in full-cycle technical recruiting, with solid exposure to the US hiring market. Proven ability to run multiple technical searches in parallel without sacrificing quality. Experience hiring software engineers, ML engineers, product managers, or other technical roles. Strong intuition for technical profiles and how to assess real engineering and product talent. Clear, confident communication in English (written and verbal). Comfort working with ATS systems and tracking hiring metrics. High ownership, urgency, and follow-through. (Industry background is flexible. Strong technical hiring experience matters more than domain.) Why join A1 Build the founding product and engineering team for a global AI application. Work directly with senior engineers, product leaders, and founders. High ownership, trust, and autonomy. Flat structure – decisions are made close to the work. Competitive compensation with room to grow as the team scales.

Supporting US launch activities, setting up the office, coordinating hiring and vendor relationships, and managing cross-team execution. | Experience in office operations, strong organizational and communication skills, ability to work independently in unstructured environments, and comfort engaging with external partners. | About the Role The Special Officer, Office of the CEO – United States is a foundational, execution-focused role supporting A1’s US market entry and office setup. You will work closely with the CEO and early leadership team to support the practical, day-to-day execution required to establish A1’s US presence. This includes office setup, coordination across teams, early hiring support, and keeping launch-related activities moving forward. This role is intentionally broad and flexible, suited for someone who enjoys building from zero, handling ambiguity, and taking ownership of follow-through. It is not a pure administrative role - while coordination and logistics are core, you will also be involved in building local networks, engaging recruiters, supporting early hiring efforts, and helping maintain launch momentum. What You Will Be Doing Support the CEO directly on US launch activities, including scheduling, preparation, follow-ups, and execution of priorities tied to office and team setup. Help set up the US office from scratch, including basic operational arrangements, vendor coordination, documentation, and local admin workflows. Build and maintain a network of recruiters, hiring partners, and service providers in the US to support early-stage hiring needs. Coordinate early hiring and interview logistics, working closely with internal TA teams and external recruiters. Act as a central execution point across HR, Finance, Operations, and Product teams to ensure US launch activities stay on track. Prepare materials, summaries, and briefing notes to support meetings, pitches, and discussions related to hiring, partnerships, and setup. Handle ad-hoc requests, last-minute changes, and urgent execution needs with speed, flexibility, and sound judgment. What You Will Need Experience in office administration, operations, executive support, startup operations, or business coordination Strong organisational skills and ability to manage multiple moving pieces in an unstructured environment Comfort working closely with senior leadership and handling sensitive information Strong communication skills and confidence engaging external parties (e.g. recruiters, vendors, partners) Hands-on, proactive mindset—comfortable figuring things out without a playbook Willingness to take on both operational and business-facing tasks as needed (Background is flexible. What matters most is your ability to execute, adapt, and build from zero.) How We Work Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission. Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Supporting the establishment and early execution of A1’s US presence, including operational setup, network building, and coordination. | Experience in startup operations, executive support, or generalist roles in fast-moving environments, with strong organizational and communication skills. | About the Role The Chief of Staff, Office of the CEO is a foundational, generalist role supporting the establishment and early execution of A1’s US presence. You will work directly with the CEO to help set up A1’s US office, support early hiring and partnerships, and drive execution across the many moving parts involved in launching a new AI organization. This role is intentionally broad and flexible - designed for someone who enjoys building from zero, operating in ambiguity, and wearing multiple hats. This is not a pure administrative role. While you will handle coordination, logistics, and follow-through, you will also play an active role in building local networks, engaging recruiters and partners, supporting early team formation, and ensuring momentum across A1’s US launch. What You Will Be Doing Partner directly with the CEO on A1’s US setup and launch priorities, including preparation, follow-ups, and execution of key decisions. Help establish the A1 US office from scratch, covering basic operational setup, vendor coordination, documentation, and local administrative workflows. Build and maintain a local network of recruiters, hiring partners, and service providers to support early-stage hiring for A1. Support early hiring efforts by coordinating interviews, managing logistics, and working closely with internal talent teams and external recruiters. Act as a central execution point across HR, Finance, Operations, and Product teams to keep A1’s US launch activities aligned and on track. Prepare briefing notes, summaries, and materials for meetings, pitches, and discussions related to hiring, partnerships, and business setup. Handle ad-hoc requests, last-minute changes, and urgent execution needs with speed, flexibility, and sound judgment. What You Will Need Experience in startup operations, executive support, business operations, office setup, or generalist roles in fast-moving environments. Strong organisational skills and the ability to manage multiple workstreams in an unstructured, early-stage setting. Comfort working closely with senior leadership and handling sensitive, high-context information. Strong communication skills and confidence engaging external parties such as recruiters, vendors, and partners. A hands-on, proactive mindset—you are comfortable figuring things out without a playbook. Willingness to take on a mix of operational, coordination, and business-facing responsibilities as needed. (Background is flexible. What matters most is execution ability, judgment, and the willingness to build from zero.) How We Work Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission. Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Support the launch and setup of A1's US office, including operational, HR, and partnership activities, and coordinate across teams to ensure successful execution. | Experience in startup or early-stage operational roles, strong organizational and communication skills, ability to work in unstructured environments, and comfort engaging with external partners. | About the Role The Director, Office of the CEO (United States) is a foundational leadership role supporting the establishment and early execution of A1’s US presence. You will work directly with the CEO to set up A1’s US office, enable early hiring and partnerships, and drive execution across the many moving parts involved in launching a new AI organization. This role is intentionally broad, generalist, and execution-heavy, suited for someone who enjoys building from zero, operating in ambiguity, and taking ownership end-to-end. This is not a pure administrative role. While coordination, logistics, and follow-through are part of the job, you will also actively build local networks, engage recruiters and partners, support early team formation, and keep momentum moving across A1’s US launch. What You Will Be Doing Partner directly with the CEO on A1’s US setup and launch priorities, translating decisions into clear execution and follow-through. Establish the A1 US office from scratch, including operational setup, vendor coordination, documentation, and local administrative workflows. Build and maintain a strong local network of recruiters, hiring partners, and service providers to support early-stage hiring. Support early hiring by coordinating interviews, managing logistics, and working closely with internal talent teams and external recruiters. Act as a central execution point across HR, Finance, Operations, and Product teams to ensure A1’s US launch activities stay aligned and on track. Prepare briefing notes, summaries, and materials for meetings, pitches, and discussions related to hiring, partnerships, and business setup. Handle ad-hoc requests, last-minute changes, and urgent execution needs with speed, flexibility, and sound judgment. What You Will Need Experience in startup operations, executive operations, business operations, office setup, or generalist leadership roles in fast-moving environments. Strong organisational skills and the ability to manage multiple workstreams in an unstructured, early-stage setting. Comfort working closely with senior leadership and handling sensitive, high-context information. Strong communication skills and confidence engaging external parties such as recruiters, vendors, and partners. A hands-on, proactive mindset—you are comfortable figuring things out without a playbook. Willingness to take on a mix of operational, coordination, and business-facing responsibilities as needed. (Background is flexible. What matters most is execution ability, judgment, and the willingness to build from zero.) How We Work Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission. Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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.