Senior Software Engineering Manager

Get to know our Team:

When you're an engineer at Grab, you are part of the heart and soul of the company. Our passion is anchored in the work that we do, and this is reflected in the impact we make on millions of lives on a daily basis. Our team is empowered by creating amazing services and tools that serve millions of passengers, driving partners, and fellow grabbers.
 

About us

We're a small team of engineers who envision, develop, and manage the systems and workflows that enable a diverse group of users at GrabFood to apply machine learning to a wide range of business problems. To make this possible, we need to address questions like these:

• What's the best way to architect and scale a distributed search system?

• How can we help data scientists reproduce their research and be more collaborative?

• How do we build flexible pipelines that can rapidly evolve to handle new technologies and modeling approaches?

• How can we make various types of data, such as natural language, photo assets, and tabular data easily available for machine learning pipelines?

Some of the areas you'll work in:

• Recommender Systems and Personalization. Almost every aspect of the GrabFood experience is personalized, and much of that personalization is driven by our various flavors of recommendation algorithms. You’ll apply a number of techniques, from the latest in deep learning, reinforcement learning, to causal inference.

• Search Ranking and Query Understanding. You’ll work on the algorithms that allow our members to interactively query and explore our catalog. Using the latest in NLP techniques, you’ll solve problems including: query understanding, knowledge graph discovery, and learning to rank across our global catalog of titles.

• Large Scale Machine Learning. Grab is available in over 8 countries, with over 163+ million downloads. This gives us a unique dataset to work with, but also unique challenges in how we scale our models. You’ll work on cutting edge techniques to scale your models for use in our production systems. 

If you’re passionate about applying cutting edge machine learning in a product that is used by hundreds of millions of people around the world, then we’d love to talk to you!

Requirements:

• 8+ years of software development experience in industry
• 3+ years of team management experience
• Experience in recommendation systems, search, or NLP.
• Successful track record of delivering results in complex cross-functional projects
• Great communication skills
• BS(MS/PhD preferred) in Computer Science

Preferred, but not required:

• Strong background in machine learning with a broad understanding of unsupervised and supervised learning methods
• Open source contributions