Senior Machine Learning Engineer Foundation Models
Senior Machine Learning Engineer Foundation Models
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Job Description
Get to Know the Team
At the AI Automation Team we develop comprehensive automated ML/AI solutions designed to tackle complex challenges within Grabs marketplace. Our focus areas include experiments embeddings recommendations and largescale marketplace optimizations.
Get to Know the Role
This is an applied research role aimed at developing foundation model solutions for Grab. You will report into the Senior Machine Learning Engineering Manager and work onsite at Grab One North Singapore office. You will also participate in oncall rotations troubleshooting and resolving issues.
The Critical Tasks You Will Perform
- You will design and implement training pipelines for foundation models and multimodal models and scalability.
- You will develop and optimize model architectures tailored to specific business uses and ensure deployment.
- You will create and apply model compression techniques such as quantization pruning and distillation to enhance model performance.
- You will establish evaluation frameworks to assess and ensure model quality aligning them with team goals.
- You will stay up to date with the latest machine learning research translating these insights into practical solutions for Grabs challenges.
- You will collaborate with different teams to understand their needs and incorporate foundation models into applications.
- You will contribute to code and design reviews to maintain highquality engineering practices and standards.
Qualifications :
What Essential Skills You Will Need
- A Degree in Computer Science Machine Learning or related fields with at least 5 years of experience in machine learning with focus on deep learning and transformer architectures
- Proficiency in using PyTorch or TensorFlow for training largescale models.
- Expertise in natural language processing or computer vision applications.
- Knowledge of distributed training frameworks like Ray and Deepspeed to facilitate scalable ML solutions.
- Experience with ML deployment platforms and MLOps to refine application processes.
- Apply foundational models and transformers to unique challenges beyond basic finetuning.
Additional Information :
Life at Grab
We care about your wellbeing 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 LoveallServeall (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 :
Fulltime
Employment Type
Full-time
