Senior Machine Learning Engineer

Populix; Jakarta Utara; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading market research platform in Jakarta is seeking a Senior Machine Learning Engineer to enhance its AI-driven research capabilities. You will design and optimize production-grade ML systems, deploy advanced models, and work collaboratively with teams to turn research challenges into scalable solutions. Ideal candidates will have experience in distributed systems, event-driven architecture, and cloud-native practices.

Qualifications

• Experience in designing and building ML systems.
• Ability to deploy advanced ML models into production.
• Familiarity with data processing for text, audio, and surveys.

Responsibilities

• Deploy advanced ML models including RAG systems.
• Work with teams to translate prototypes into services.
• Scale pipelines and improve efficiency in data management.

Skills

Production-grade ML systems

Distributed systems

Event-driven architecture

Monitoring and CI/CD

Tools

Cloud-native practices

Job description

Overview

Populix is a consumer insights platform that helps businesses connect with its database of respondents and provides them with insights to better understand the preferences of Indonesian consumers. Populix has a pool of over 1,000,000 diverse, readily accessible, and highly qualified respondents across Indonesia. Its products range from intensive research studies to simple surveys and can be arranged on a project or subscription basis. Focusing on Indonesian consumers being super sticky to their phones, Populix facilitates a diverse range of data collection methods via its mobile app.

About the Role

Populix is building the future of AI-powered market research, combining structured data, unstructured insights, and generative AI into a seamless research intelligence platform. We're looking for a Senior Machine Learning Engineer to accelerate that vision. Someone who can design, build, and optimize production-grade ML systems that turn research challenges into scalable, high-impact solutions.

In this role, you’ll be at the core of deploying advanced ML models into production, from retrieval-augmented generation (RAG) systems to agentic AI workflows and automation pipelines. You’ll work closely with data scientists, backend engineers, and product teams to translate research prototypes into robust, high-performance services that power Populix’s next-generation research platform.

You’ll also play a key role in evolving our ML infrastructure: scaling pipelines for text, audio, and survey data, improving efficiency through distributed systems and event-driven architecture, and ensuring reliability through monitoring, CI/CD, and cloud-native practices. This is a chance to not only build impactful systems but also influence the technical strategy behind how AI is operationalized at scale.