Senior / Lead Machine Learning Engineer

Senior / Lead Machine Learning Engineer

GrabTaxi Pte Ltd
2-5 years
Not Specified

Job Description

In Grab, we work on some of the most challenging and fascinating problems in transport, economics, logistics, and the space around. We apply machine learning, simulation, forecasting, scheduling, optimization, and many other advanced techniques on our huge datasets to push our business metrics to their bounds, directly and indirectly. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.
Get to know the Teams
Ads and Personalisation Technology (APT)
The Ads & Personalisation Technology team (APT) is a team focused on building relevant advertising products across our platform for both our merchants and end customers. Our mission is to . Our strategy to achieve this mission is to create . What does that mean Over the next 12 to 24 months, we're going to focus on building out a rich, flexible ads marketplace that enables all kinds of businesses in Southeast Asia to connect with their customers in meaningful ways. And we're going to do that in a way that makes ads a valuable addition to the Grab ecosystem, offering new kinds of positive content discovery experiences for our end users.
As part of the Personalization team, you would be responsible for designing, implementing, rolling out, and experimenting real-time stream processing in the ranking platforms at Grab.
As part of the Ads Ranking and Recommendation team, you conceptualize and develop machine learning models to model our users preferences, behaviours and interactions. You drive the development and iteration of algorithms, and ensure that improvements and new features roll-out successfully.
Processing millions of bookings a day and billions of traffic data points per month, the Machine Learning roles in Geo are very challenging but incredibly rewarding, where each new code that you string, push out and implement instantly impacts millions of people across Southeast Asia. The team is making the best Map product in this region, from hardware, edge computation, all the way to large scale data processing, model predictions and online services. We are seeking talented and passionate Machine Learning Engineers to join our team who want to work either on humongous geospatial data processing from heuristic models to deep neural networks, or on rich street-view image data processing and understanding from vision knowledge.
Machine Learning Platform
The Machine Learning Platform team seeks to develop scalable and robust machine learning infrastructure and tooling at Grab, empowering our users to deploy Machine Learning models at scale in production from end to end in a safe and continuous manner.
Get to know the Role:

  • Work on problems that run the gamut from building Machine Learning / Deep Learning models to developing full-scale production systems.

  • Train and predict on Grab's unique large-scale data sets, leveraging Grab's unique position as South-East Asia's most popular SuperApp.

  • Build, deploy, maintain and optimize machine learning-based solutions, including computer vision and search-related applications.

  • Analyze data and define metrics for feature evaluation and model performance.

  • Design and implement robust data pipelines.

  • Identify and build new approaches and methods for machine learning as we grow.

Get to know the Role (ML Platform):

  • Be involved in the end to end lifecycle of Machine Learning, understanding the Data Science journey and building the right tools for our users.

  • Develop tools and services that enable ML practitioners to build robust machine learning pipelines that adhere to the principles of continuous delivery.

  • Build and maintain scalable and flexible model training frameworks using containerisation technologies such as Kubernetes, allowing users to run heterogeneous workloads using the right open source technologies.

  • Build and maintain a cost efficient model serving platform at scale, flexible and robust enough to scale up and down depending on traffic patterns.

  • Collaborate with data scientists and ML engineers from different functions to empower them to deploy their machine learning solutions to production to solve business problems.

The must haves:

  • Bachelor/Master/PhD Degree in Computer Science, Math, EE or similar field.

  • Minimum 2 years experience as a software engineer writing production code.

  • Solid software engineering and coding skills. In addition to Python, experience in at least one backend language like Go, Scala, Java, C++ or other is required.

  • Solid understanding of Machine Learning / Deep Learning and the existing frameworks such as Tensorflow and PyTorch.

  • Strong understanding of distributed ETL frameworks like Spark or Scalding.

  • Experience with cloud-based big data and machine learning services is a plus.

  • Self-motivated, curious, team-player, problem solver.

  • Detail-oriented and focused in a dynamic and fast-paced working environment.

Grab Holdings Inc., commonly known as Grab, is a Southeast Asian technology company. It is incorporated in the Cayman Islands and headquartered in Singapore and Indonesia. It is the developer of the Grab Superapp, which provides users with transportation, food delivery and digital payments services via a mobile app. Grab currently operates in Singapore, Malaysia, Cambodia, Indonesia, Myanmar, the Philippines, Thailand and Vietnam. It is Southeast Asia's first decacorn,and the biggest technology startup in the region.

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