Senior Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Get to know the Team:
In the Mobility Data Science team you are at the core of Grabs founding business. We are responsible for building the high-concurrency AI models that power the ride-hailing experience for millions of passengers. Our mission is to balance a complex two-sided marketplace driving platform efficiency and user growth through sophisticated geospatial modeling behavioral economics and real-time optimization.
Get to know the role:
As a Senior Data Scientist in Mobility you will build intelligent systems that predict friction shape urban movement and use Generative AI to redefine how passengers interact with our transport network. Your key responsibilities are:
Strategic Demand Shaping: Architect solutions to balance the network spatially and temporally. This involves steering demand toward higher serviceability areas or shifting passengers between service types (e.g. from JustGrab to GrabShare or Electric Vehicles) to optimize throughput.
Demand Generation & Growth: Identify hidden mobility patternssuch as commuting shifts event-based surges or latent shopping-to-ride needsto unlock new growth levers for the Mobility vertical.
Proactive Reliability & Dispute Arbitration: Predict friction before the ride even starts. You will develop models to identify high-risk bookings and cancellation probabilities automating who is at fault logic to ensure fair outcomes for both passengers and drivers.
Transformative User Experience with GAI: Leverage Generative AI (GAI) to evolve the passenger interface making the booking and support journey more intuitive and personalized.
Build Iterate and Deploy: Own the end-to-end lifecycle of ML models translating tens of millions of passenger interactions into production-grade solutions through rigorous A/B testing and monitoring.
Cross-Function Collaboration: Partner with product managers engineers analytics design and operations teams to scale solutions.
- Innovation: Contribute to teams innovation and IP creation
Qualifications :
What Essential Skills You Will Need:
- Education: Ph.D. graduate or Masters Degree with 3 years of relevant experience in Machine Learning Statistics Computer Science Economics or Operations Research.
Technical Depth: Deep understanding of ML/DL foundations geospatial data mining and algorithmic optimization. Proficiency in frameworks like TensorFlow or PyTorch. Proven experience in the application of Large Language Models
Programming: Strong proficiency in Python or Scala.
Problem Solving: Proven ability to translate complex business problems (like multi-party dispute arbitration or spatial demand shaping) into scalable math/code solutions.
Soft Skills: Self-motivated learner with excellent communication skills to articulate technical insights to non-technical stakeholders.
Preferred to have:
Domain Expertise: Proven experience in ride-hailing logistics or large-scale marketplace platforms.
LLM Proficiency:
Hands-on experience building production-grade GAI use cases with fine-tuning LLMs agentic RAG and LLM Evaluation in PRD
Hands-on experience building autonomous agents or multi-agent systems for complex task execution.
Systems & Scale: Experience with Spark Flink or Kafka for large-scale and real-time data processing.
Engineering Excellence: Familiarity with CI/CD principles and MLOps for data science projects.
Specialized ML: Background in recommender systems large-scale forecasting or combinatorial optimization.
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 lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
About Grab and Our WorkplaceGrab 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, w ... View more
