Machine Learning Engineer
Share
Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Data Science GEO - Traffic team at Grab focuses on building world-class map services such as travel time estimation traffic activity recognition high-precision indoor / outdoor positioning. These applications enhance Grabs consumer experience on transport food deliveries logistics and optimize our platform efficiency. We extensively use state of the art deep learning techniques computer vision and conventional machine learning models for developing services for geo-spatial intelligence. These technologies are applied on a variety of signals including GPS probes sensor readings images etc. to build strong map service capabilities. We also support the development of innovative highly scalable models through deep research and advanced analysis so that we make our products intelligent and delight our customers. We foster a culture where we enjoy raising the bar constantly for ourselves and others and that strongly supports the freedom to ideate innovate invent and create impact on day-to-day lives of millions of people.
Duties and Responsibilities
- Understands the teams end-to-end system design and can design new features/components based on clearly defined requirements.
- Design solutions that are robust able to handle business-as-usual (BAU) scenarios effectively with some guidance on edge cases.
- Develop data pipelines build and optimize deep learning and machine learning algorithmsincluding Large Language Models (LLMs) and multi-modal modelsfor real-world impact.
- Contribute to teams innovation and IP creation
- Collaborate with other data scientists software engineers product managers and business operation teams.
Qualifications :
Requirements
- Masters in Computer Science Electrical/Computer Engineering Operations Research or related technical disciplines.
- You have experience in end to end ML lifecycle from data preprocessing model development model deployment through model retraining and fine tuning.
- You have experience manipulating large scale datasets using libraries such as Spark.
- Good understanding of the deep learning frameworks such as TensorFlow or PyTorch and deployment tools (ONNX tf-serving TorchServe Triton Inference Server)
- Solid software engineering skills in Python
- Experience with model versioning CI/CD for ML containerization (e.g. Docker) and cloud-based deployment (AWS GCP Azure).
Nice-to-Haves
- 2 years of industry experience working with logistics mapping or e-commerce data and use cases.
- Experience in ETA traffic prediction routing algorithm positioning algorithm or mobile-side computing is a very desirable plus.
- Knowledge of programming in Golang or Rust.
- Know the modern data pipeline and warehousing stacks such as Airflow Superset Kafka stream processing and Apache Flink.
- Experience working with and finetuning Large Language models (LLMs) and agentic AI frameworks such as Langchain/Langgraph/crewAI.
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
