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Grab Holdings

Lead Machine Learning Engineer, AI Platform

Posted 6 Days Ago
Be an Early Applicant
In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
The role involves developing AI tools, leading ML projects, mentoring engineers, and enhancing workflows for engineering efficiency at Grab.
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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

Welcome to Dev-AI at Grab! Our team focuses on empowering Grab engineers through AI innovation, combining in-house solutions and third-party technologies to elevate application development, testing, and automation efforts. By improving workflows, we aim to advance efficiency and productivity for all engineering teams across Grab.

Get to Know the Role

As part of your role, you'll be reporting to the Head of Engineering and collaborating with various teams to design AI tools that simplify and enhance the engineering process. You will identify opportunities for optimization within the Software Development Lifecycle, drive impactful AI initiatives, and ensure alignment with Grab's scalability and overall objectives.Your position will require technical leadership, and fostering innovation across Grab's engineering teams. You'll be based onsite at Grab Singapore's office, located at One-north.

The Critical Tasks You Will Perform

  • You will develop and implement approaches targeted at improving datasets, including annotations and synthetic data creation, alongside fine-tuning methods like adapters and prompt tuning, and model optimization strategies such as quantization and pruning.
  • You will apply the latest AI research to construct robust, scalable, and efficient ML systems that are ready for production.
  • You will work hand-in-hand with engineering, research, and product teams to craft customised AI solutions that meet specific business requirements.
  • You will design automated workflows to enhance the model training, evaluation, deployment, and monitoring processes, ensuring efficiency and scalability.
  • You will offer mentorship and technical leadership to team members, fostering a culture centred around continuous improvement and innovation.

Qualifications

What Essential Skills You Will Need

  • You have over 6 years of expertise in building and deploying AI/ML platforms, with hands-on involvement in providing technical leadership, mentoring engineers, or managing technical projects.
  • You have knowledge of contemporary AI methods such as deep learning, transformers, generative models, and multimodal architectures is essential, along with proficiency in ML frameworks like PyTorch, TensorFlow, or Hugging Face.
  • You also have knowledge of fine-tuning methodologies (e.g., PEFT, adapters, LoRA), dataset preparation techniques (e.g., annotation, augmentation, synthetic generation), and optimization strategies (e.g., quantization, pruning, distillation).Knowledge of optimization techniques such as quantization, pruning, and distillation.
  • You can collaborate with product teams to implement AI solutions in live-production environments.
  • You have experience translating cutting-edge AI research into workable, production-ready systems that align with project goals.
  • You are proficient in Python and familiarity with tools like Spark, Ray, or Dask for large-scale data handling. Knowledge of engineering practices including CI/CD, containerization, microservices, and cloud infrastructure (AWS, GCP, Azure)
  • You have history of success in leading technical initiatives, mentoring team members, and working with diverse teams (technical and non-technical) to drive AI-focused projects forward.

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.

Top Skills

AWS
Azure
Dask
GCP
Hugging Face
Python
PyTorch
Ray
Spark
TensorFlow
HQ

Grab Holdings Singapore Office

3 Media Close, Singapore, 138498

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