Machine Learning Engineer
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Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Get to know our Team
The Data Science (GrabMaps) team at Grab focuses on building map-based intelligence such as Place-of-Interest (POI) search and recommendation data curation travel time estimation traffic forecasting routing and positioning. Our work powers various Grab services like transport allocation logistics and pricing. We extensively use computer vision natural language processing (NLP) and information retrieval along with conventional machine learning methods on a variety of signals including images videos text sensor readings and GPS probes to understand places and road networks.
We foster a culture where we enjoy raising the bar constantly for ourselves and others and strongly support the freedom to explore and innovate.
Duties and Responsibilitie
- Collaborate with senior data scientists to adapt and fine-tune LLMs for map-related tasks such as:
- POI enrichment (e.g. extracting attributes from text/images).
- Search intent understanding and query rewriting.
- Knowledge grounding using geo/POI databases.
- Help design and evaluate agentic AI workflows that integrate LLMs with tools (search APIs vector databases map services) to automate tasks like POI validation deduplication and categorization.
- Implement data pipelines for training/evaluating LLM-powered systems including prompt evaluation few-shot setups and fine-tuning.
- Contribute to prototyping retrieval-augmented generation (RAG) pipelines for map search and recommendation.
- Perform experiments to measure model accuracy latency and robustness and suggest improvements.
- Write clean maintainable code contribute to shared libraries and support deployment into production systems.
- Stay updated with latest literature in LLMs agent frameworks and information retrieval and apply relevant ideas in practical ways.
Qualifications :
Requirements
- Masters or Bachelors degree in Computer Science Data Science AI/ML or a related field
- Hands-on experience with deep learning (PyTorch/TensorFlow) and NLP/LLM frameworks (e.g. HuggingFace LangChain LlamaIndex).
- Strong programming skills in Python; experience with Spark/SQL is a plus.
- Familiarity with prompt engineering fine-tuning or adapting pre-trained LLMs for downstream tasks.
- Solid understanding of ML fundamentals (classification ranking embeddings evaluation metrics).
- Ability to work with large-scale datasets experience with cloud environments (AWS/GCP/Azure) is a plus
- Good communication and collaboration skills with an eagerness to learn and experiment.
Nice-to-Haves
- 13 years of applied ML/AI experience ideally with NLP LLM or agent systems.
- Experience with retrieval-augmented generation (RAG) vector databases (Pinecone Faiss Milvus) or knowledge graphs.
- Exposure to multimodal learning (text images geo).
- Familiarity with ML model serving tools (TorchServe Triton Ray Serve).
- Understanding of responsible AI practices such as safety bias mitigation and alignment.
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 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.
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
