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ML Data Scientist - Job Opportunity at Apple

Hong Kong, HK
Full-time
Mid-level
Posted: April 1, 2025
On-site
USD 100,000 - 150,000 per year based on Hong Kong market rates for ML specialists at major tech companies

Benefits

Work on cutting-edge ML projects with global impact
Opportunity to influence AI development at industry-leading tech company
Professional development through collaboration with world-class technical teams
Experience with enterprise-scale ML systems and infrastructure

Key Responsibilities

Design and implement robust evaluation frameworks for ML models serving millions of users
Lead quality assurance and validation processes for critical AI systems
Drive data curation and bias mitigation strategies
Develop automated tools for model performance monitoring and optimization
Collaborate with cross-functional teams to ensure ethical AI deployment

Requirements

Education

Bachelor's/Master's/PhD degree in Computer Science, Data Science, Artificial Intelligence, or related disciplines

Experience

Open to both recent graduates and professionals with industry experience

Required Skills

Python programming Machine learning model evaluation Data analytics Verbal and written communication Advanced programming/scripting (Python, Bash) Experience with Generative AI and LLMs Computer Vision Graphics ML pipeline optimization
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Sauge AI Market Intelligence

Industry Trends

The focus on ML model evaluation and transparency reflects the growing regulatory emphasis on AI accountability and ethical deployment Hong Kong's emergence as a strategic AI hub in Asia signals increasing investment in ML talent and infrastructure Rising demand for specialists who can bridge technical ML capabilities with practical quality assurance demonstrates the maturing of AI deployment practices

Role Significance

Likely part of a specialized 5-8 person ML quality assurance team within a larger AI/ML organization
Mid to senior technical position with significant influence on AI deployment decisions and quality standards

Key Projects

Development of automated ML evaluation frameworks Implementation of bias detection and mitigation systems Creation of scalable data quality assessment tools Design of user study methodologies for ML model validation

Success Factors

Deep understanding of ML model behavior and failure modes Ability to balance technical rigor with practical deployment constraints Strong communication skills to translate technical findings to various stakeholders Experience with large-scale data processing and analysis

Market Demand

Very high, driven by increasing focus on AI governance and quality assurance in enterprise ML deployments

Important Skills

Critical Skills

ML model evaluation expertise Statistical analysis capabilities Quality assurance methodologies Data curation and bias detection skills

Beneficial Skills

Knowledge of regulatory compliance in AI Experience with user study design Understanding of ML deployment pipelines Familiarity with ethical AI principles

Unique Aspects

Focus on ML transparency and evaluation rather than just model development
Emphasis on ethical AI and quality assurance in a consumer technology context
Opportunity to influence AI deployment decisions affecting millions of users

Career Growth

2-3 years in role before advancement, depending on project impact and leadership demonstration

Potential Next Roles

Lead ML Engineer AI Quality Assurance Manager Technical AI Product Manager ML Architecture Lead

Company Overview

Apple

Apple's investment in ML quality assurance reflects its commitment to responsible AI deployment across its global product ecosystem

Industry leader in consumer technology with significant resources devoted to AI/ML development
Strategic position in Hong Kong indicates focus on APAC market and talent pool
Fast-paced, quality-focused environment with emphasis on innovation and user impact
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