Machine Learning Engineer (Fulfilment ETA)

The Fulfilment Interface Data Science team at Grab focuses on predicting and optimizing Estimated Time of Arrival (ETA) for food orders and transport bookings. This role involves building sophisticated DNN models for accurate ETA prediction, establishing automated pipelines for model retraining and serving, and creating dashboards to monitor model accuracy and service health. The engineer will also conduct A/B experiments and data analysis in collaboration with product teams.

Must Have

• Develop innovative Machine Learning or Deep Learning models for ETA prediction and optimization.
• Establish automated pipelines for model retraining, parameter tuning, and production serving.
• Build dashboards to monitor model accuracy and service health, tracking performance and identifying data drift.
• Create technical documents and present solutions to stakeholders.
• Collaborate with Product Analytic and Product Manager for A/B experiments and data analysis.
• Hold a Bachelor or Master Degree in Computer Science, Operations Research, Mathematics, Statistics, Physics, or Software Engineering.
• Solid background in at least two of: Machine Learning, Deep Learning, Causal Inference, Operation Research.
• 1 year of relevant working experience in tech companies or academic institutions.
• Proficient in Python, Tensorflow/Pytorch, SQL, Spark, and Git.
• Ability to develop data processing ETL pipelines.
• Familiarity with Version Control Systems like Git and Git-flow, and the full software development life-cycle.

Perks & Benefits

• Term Life Insurance
• Comprehensive Medical Insurance
• GrabFlex (customizable benefits package)
• Parental leave
• Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Confidential Grabber Assistance Programme
• FlexWork arrangements (e.g., differentiated hours)

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Fulfilment Interface Data Science team predicts the estimated time of arrival (ETA) and/or optimise the ETA quotation that balance among the ETA accuracy, system efficiency and marketplace throughput.

Get to Know the Role

We are looking for a Data Scientist to build sophisticated DNN models that predict ETA for Food orders and Transport bookings accurately under uncertainty. You will report to the Head of Data Science and is based onsite in Beijing.

The Critical Tasks You Will Perform

• You will develop innovative Machine Learning or Deep Learning model that can predict the ETA of the food orders accurately. You will also build Optimisation models to balance the ETA accuracy and system efficiency.
• You will establish pipelines to automate the model retraining and parameter tuning and serve the model in production.
• You will build dashboards to monitor the model accuracy and service health. This will involve tracking model performance, identifying data drift issues, and implementing improvements.
• You will create technical documents outlining the methodologies and findings of your work. You will present solutions and explain complex concepts to non-technical stakeholders.
• You will collaborate with Product Analytic and Product Manager to conduct A/B experiment and data analysis.

Qualifications

What Essential Skills You Will Need

• You hold a Bachelor or Master Degree in a relevant field such as Computer Science, Operations Research, Mathematics, Statistics, Physics, or Software Engineering.
• You have solid background in at least two of the following domains: Machine Learning, Deep Learning, Causal Inference and Operation Research.
• You have 1 years of relevant working experience in tech companies or academic institutions.
• You are proficient in Python, Tensorflow/Pytorch, SQL, and Spark, git.
• You can develop data processing ETL pipelines to support data analysis, model training, and model serving tasks.
• You are familiar with Version Control Systems such as git, git-flow, and understand the full software development life-cycle.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.