Machine Learning Engineer

APPLE SOUTH ASIA PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading tech company in Singapore is searching for an experienced ML Engineer to design and develop data curation pipelines for machine learning. This role involves working closely with model, infra, and evaluation teams to ensure the delivery of high-quality, large-scale data processing. The ideal candidate will have a Bachelor's degree in a relevant field and at least 3 years of industry experience, with strong skills in Python and various ML libraries. Join a team that powers breakthrough innovations for millions of users.

Qualifications

• A minimum of 3 years relevant industry experience.
• Hands-on experience working on large scale data curation pipeline for LLMs.
• Familiarity with multimodal models and related evaluation challenges.

Responsibilities

• Design and develop data curation pipeline for pre-training and post-training.
• Work closely with model team and evaluation team to benchmark data quality.
• Work closely with infra team to scale up the data processing performance.

Skills

Evaluating supervised models

Evaluating unsupervised models

Deep learning models

Large scale data curation

Python programming

Communication skills

Education

Bachelor degree in Computer Science/Engineering, Mathematics

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Job description

Summary

The codec deep video processing team develops machine learning algorithms to power Apple technologies with the best user visual experience. In this role, you will work closely with company-wide multiple teams and in multiple projects, from pre-training data curation to post-training data preparation, from data operator development to LLM based data assessment, from model inferencing to model re-training, in a large-scale, to help deliver new features for Apple products and bring high impact to millions of users.

Description

Join us as an ML Engineer and become the architect behind the data pipeline that power tomorrow's breakthrough Apple innovations. You will play the key role in data, the most important part that fuels the ML algorithms from conception to deployment. Working shoulder-to-shoulder with model teams, infra teams and evaluation, you'll drive the scalable data pipeline to deliver large scale of data with high quality in all aspects. Your contributions will directly shape product direction, unlock entirely new model capabilities, and define what's possible at Apple AI era.

Responsibilities

• Design and develop data curation pipeline for pre-training and post-training
• Work closely with model team and evaluation team to benchmark data quality
• Work closely with infra team to scale up the data processing performance

Minimum Qualifications

• Bachelor degree in Computer Science/Engineering, Mathematics or related field
• A minimum of 3 years relevant industry experience
• Strong experience in evaluating supervised, unsupervised, and deep learning models
• Hands-on experience working on large scale data curation pipeline for LLMs
• Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges
• Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow
• Strong communication skills and documentation skills, including the ability to write technical reports and present to non-technical audiences

Preferred Qualifications

• Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks
• Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques
• Experience evaluating generative models (e.g., text generation, image/video generation)
• Prior contributions to ML benchmarks or public evaluations
• Strong interpersonal skills

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.