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Grab

On-demand parcel delivery in Southeast Asia

Senior Machine Learning Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeBeijing, ChinaNo salary listedIn-person

About the Job

Requirements

  • At least two years of machine-learning engineering experience.
  • Strong computer science fundamentals, including algorithms and data structures.
  • Experience developing and maintaining large-scale microservices.
  • Practical experience building and operating production-grade batch and real-time data-processing pipelines.
  • Ability to handle noisy or incomplete data, define appropriate evaluation metrics, and translate ambiguous business problems into measurable technical solutions.
  • Familiarity with a programming language, strong coding ability, and willingness to develop in Go.

Responsibilities

  • Build reliable L3/L4 intelligent workflows and robust, scalable solutions for processing real-time signals.
  • Use large-scale user trajectory data to build a traffic foundation model and improve capabilities such as ETA and route planning.
  • Build vision-based traffic-event perception models using low-cost visual devices such as phones or in-vehicle dashcams.
  • Design, build, and operate reliable data pipelines for real-time stream processing and large-scale batch processing, including real-time event data and other geospatial signals.
  • Transform raw and noisy data into trusted features, insights, and datasets for route planning, navigation, traffic conditions, and map quality applications.
  • Establish monitoring, data-quality checks, evaluation frameworks, and feedback loops to ensure reliable data pipelines and model outputs.
  • Collaborate with product managers, data scientists, analysts, and engineers to define problems, run experiments, and deliver scalable solutions.
  • Explore emerging technologies and apply them pragmatically to improve engineering efficiency and product outcomes.

Desired Qualifications

  • Proficiency in Go.
  • Experience working with geospatial, route-planning, navigation, traffic, event, or map-related data.
  • Familiarity with streaming technologies such as Kafka, Flink, Spark Streaming, or equivalent systems.
  • Experience building intelligent automation for engineering or operational workflows, including retrieval-augmented generation (RAG), tool integration, evaluation, and harness engineering.
  • Familiarity with data analytics, model monitoring, experiment design, and production-grade machine-learning lifecycle management.
  • Familiarity with cloud services such as AWS or Azure.

About the Company

Grab

On-demand parcel delivery in Southeast Asia

Grab operates a range of services in Southeast Asia, including ride-hailing, food delivery, and logistics. Its GrabExpress on-demand parcel delivery lets customers and businesses send documents and packages through the Grab app, with real-time tracking, options for up to 10 concurrent deliveries, and islandwide coverage (with some restricted areas). The service relies on a large network of delivery partners and charges fees based on distance, time, and item type. Its advantage comes from offering an integrated, all-in-one platform for transportation, meals, and parcel delivery to support the region’s growing e-commerce and urban activity.

Company size
10,001+
Company stage
IPO
Headquarters
Singapore, Singapore
Founded
2012

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