Principal Machine Learning Engineer, AI Platform
Singapore, Singapore
Grab
Grab is Southeast Asiaβs 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
Join the AI Platform team at Grab, where you empower different teams to leverage AI. We create cutting-edge tools and infrastructure that democratise AI, sparking innovation throughout our services.
Get to Know the Role
As a Principal Machine Learning Engineer in our central AI team, you will report into the Head of Engineering, Machine Learning and Experimentation Platforms and work onsite in Grab One North office. You will lead the transformation of machine learning within Grab. Your work will influence how AI adds value across the organisation.
The Critical Tasks You will Perform
- You will shape and direct the long-term AI strategy at Grab, ensuring our platform supports advanced AI/ML applications across all teams.
- You will identify and guide research initiatives, integrating advancements like foundation models and reinforcement learning into Grab's ecosystem.
- You will collaborate with product and engineering teams to design and deploy AI-first features, enhancing user experience and operational efficiency.
- You will build and oversee scalable, ML/AI platforms that allow teams to iterate AI models.
- You will translate new AI research into production-ready systems, ensuring they are scalable and impactful.
- You will develop systems that automate model workflows including training, evaluation, and deployment, to facilitate AI-driven decision-making.
- You will implement and advocate best practices for AI fairness, interpretability, security, and governance, ensuring ethical AI use.
- You will work with leadership to align AI strategies with Grab's goals, identifying new opportunities for AI contributions.
Qualifications
What Essential Skills You will Need
- You have at least 8 years of experience in AI/ ML engineering with experience developing AI-powered platforms and products, and 2 years in a leadership capacity (technical leadership, mentorship, or management).
- You have foundation in modern AI methodologies like deep learning, generative models, and multimodal AI. You are familiar with frameworks such as TensorFlow, PyTorch, or JAX.
- You have mastery in MLOps and AI infrastructure, with experience in scalable system architectures, model training pipelines, and cloud platforms (AWS, GCP, Azure).
- You can design and deploy user-facing AI products through cross-functional collaboration.
- You have expertise in transforming AI research into practical, production-level applications.
- You can translate our needs into a strategic AI roadmap that adds value aligned with our goals.
- You are proficient in Python and knowledgeable in large-scale data processing (Spark, Ray, Dask), along with software engineering practices like CI/CD.
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.Β
* Salary range is an estimate based on our AI, ML, Data Science Salary Index π°
Tags: AI strategy Architecture AWS Azure CI/CD Deep Learning Engineering GCP Generative modeling JAX Machine Learning ML infrastructure MLOps Model training Pipelines Python PyTorch Reinforcement Learning Research Security Spark TensorFlow
Perks/benefits: Career development Medical leave Parental leave
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