As a Machine Learning Engineer, you’ll develop and deploy models that power key features - from personalization and risk scoring to automation and fraud detection. Your work will have a direct and visible impact on millions of users. This is a remote role based in Indonesia, working closely with our HQ in Malaysia and cross-functional teams across the region.
Job listings
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. You’ll design and deploy core AI systems that serve millions across the region.
Work 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. Oversee the full AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. Optimize and maintain AI-driven systems for scalability, security, and efficiency.
Work with product managers and stakeholders to define AI and machine learning objectives and requirements. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Manage the end-to-end AI model lifecycle and optimize models for scalability and security.
$135,000–$145,000
USD/year
This role will play a critical part in Tyndale's mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, data engineers and business stakeholders to own the full lifecycle of our ML models and Generative AI applications. This is an exciting opportunity to shape the foundation of our AI and Machine Learning efforts, driving impactful insights and innovations.
$190,000–$210,000
USD/year
Help lead the architecture, development, and deployment of production-grade AI systems. Work with data science, product, engineering, and operations teams to design workflows that will enhance the experience of our members and internal users. If you’re a hands-on engineer with deep expertise in machine learning systems and a pragmatic approach to delivering value quickly in a startup environment, let’s talk!
We are seeking a passionate and skilled Machine Learning Engineer to join our forward-thinking team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings. You will work closely with data scientists, data engineers, and software developers to integrate machine learning solutions into our existing systems.
In this role, you will design and implement cutting-edge Agentic AI solutions, including autonomous AI agents powered by large language models (LLMs). Your work will directly contribute to transforming business processes and enabling intelligent automation across the enterprise.
Lead and grow a team of ML engineers developing Generative AI models and integrating them into Firefox experiences. Drive end-to-end machine learning product development—from research and prototyping to model training, evaluation, deployment, and iteration in production. Collaborate cross-functionally with product, research, design, and platform teams to deliver user-facing features powered by AI models.