Lead Machine Learning Engineer, AI Platform
Singapore , Singapore
Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CI/CD Deep Learning Engineering GCP Generative modeling LoRA Machine Learning Microservices Model training Python PyTorch Research Spark TensorFlow Testing Transformers
Perks/benefits: Career development Medical leave Parental leave
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