Senior Machine Learning Engineer (Fulfilment ETA)
Verified EmployerGrab
Job Description
Senior Machine Learning Engineer (Fulfilment ETA)
- Team Data Science
- Location Singapore
- Job Type Full-time
Get to Know the Team
The Fulfilment Interface Data Science team predicts the estimated time of arrival (ETA) and optimises the ETA quotation that balance among the ETA accuracy, system efficiency and marketplace throughput.
Get to Know the Role
We are looking for a Senior Machine Learning Engineer to build DNN models that predict ETA for Food orders and Transport bookings accurately under uncertainty.
You will report to the Senior Data Science Manager and work onsite at our office in Singapore.
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.
What Essential Skills You Will Need
- A Bachelor or Master Degree in a relevant field such as Computer Science, or any relating fields
- 3+ years of background in at least two of the following domains: Machine Learning, Deep Learning, Causal Inference and Operation Research.
- 4+ years of relevant working experience in tech companies or machine learning industry
- Proficient in AI-assist coding with Python, Tensorflow/Pytorch, SQL, and Spark, git.
- Experience developing data processing ETL pipelines to support data analysis, model training, and model serving tasks.
- Familiar with Version Control Systems such as git, git-flow, and understand the full software development life-cycle.
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.
Read more Life at GrabLife 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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
Read moreWhat’s it like to work at Grab?
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Apply Now ShareView our location
Nestled in the vibrant heart of Singapore is Grab's Global HQ! Take a tour of our office here, meet some of our teams and find out what it’s like to work in this vibrant cosmopolitan.
Meet the Data Science team
Our Data Science team is on a mission to create delightful experiences for our users. Every day, they dive into the data to uncover new and intelligent ways to deliver hyperlocal services and solutions to our communities in Southeast Asia.
Every small step of innovation at Grab has an instant impact on hundreds of millions of active users. Nothing is more exciting than facing challenges, exploring uncertainties and advancing the state-of-the-art in artificial intelligence.
“ ” Jia ChenHead of Data Science, IntegrityMy journey has been fueled by a passion for making a tangible impact through data. Having been a Senior Data Scientist at GrabFin, and now a Lead Data Scientist at Grabads, I found the perfect opportunity to work with massive datasets, which has led to greater impact in my work.
“ ” Arpit GoelLead Data Scientist in GrabAdsI get to bring data to life throughout the product journey – from scoping problems and setting metrics to experimenting and tweaking things for the better. It's not just about numbers; it's about actively shaping and improving our products every day.
“ ” Ki Fong PuaSenior Data Scientist (Analytics) at GrabThe Application Process
What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like.
Step 1: Apply.
We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate.
Step 2: Getting to know you.
Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences.
Step 3: Testing, testing… 123.
Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details.
Step 4: Is it a culture match?
Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.
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