ML Data Scientist - Job Opportunity at Apple

Hong Kong, Hong Kong
Full-time
Mid-level
Posted: April 2, 2025
On-site
USD 100,000 - 150,000 per year based on Hong Kong market rates for ML specialists at major tech companies

Benefits

Access to cutting-edge ML/AI technology stack
Career development in a leading tech company
Work on high-impact projects affecting millions of users
Collaboration with world-class technical teams
Professional development opportunities in emerging AI fields

Key Responsibilities

Design and implement evaluation workflows for ML models to ensure quality and reliability
Conduct comprehensive failure analysis and develop improvement strategies
Lead data curation initiatives and establish quality guidelines
Drive cross-functional collaboration for model evaluation and enhancement
Develop automated tools for model performance monitoring
Guide data annotation teams and establish quality protocols

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) Expertise in Generative AI and LLMs Computer Vision Graphics ML pipeline design and optimization
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Sauge AI Market Intelligence

Industry Trends

Growing emphasis on AI model evaluation and quality assurance as organizations face increased scrutiny over AI deployments Rising demand for specialists who can ensure AI model transparency and ethical compliance Shift towards comprehensive evaluation frameworks for GenAI and LLMs Increasing focus on data quality and bias mitigation in AI systems

Role Significance

Likely part of a specialized 5-8 person team within larger ML organization
Mid to Senior level position with significant impact on product quality and risk management

Key Projects

ML model evaluation framework development Quality assurance automation systems Data curation and bias mitigation initiatives Cross-functional collaboration on AI product launches

Success Factors

Deep understanding of ML model behavior and failure modes Strong analytical skills for complex problem solving Ability to balance technical excellence with practical implementation Excellent communication skills for cross-functional collaboration Strategic thinking in quality assurance and risk management

Market Demand

Very High - Specialized role combining ML evaluation and quality assurance is increasingly critical as AI deployment scales

Important Skills

Critical Skills

ML model evaluation and testing methodologies Statistical analysis and quality metrics Programming and automation capabilities Data quality assessment and improvement techniques

Beneficial Skills

Knowledge of emerging AI evaluation frameworks Experience with large-scale data processing Understanding of AI ethics and bias mitigation Familiarity with ML deployment workflows

Unique Aspects

Focus on ML model transparency and quality at massive scale
Opportunity to impact millions of users through AI quality assurance
Combination of technical depth and quality assurance expertise
Position at intersection of ML engineering and product quality

Career Growth

2-3 years in role before advancement opportunities, depending on impact and skill development

Potential Next Roles

Senior ML Engineer AI Quality Lead ML Infrastructure Architect Technical Product Manager for AI Systems

Company Overview

Apple

Apple is a global technology leader with significant investments in AI/ML capabilities across its product ecosystem

Industry leader with extensive resources and influence in technology innovation
Strategic APAC position with Hong Kong serving as a key technical hub
Fast-paced, innovation-focused environment with high quality standards and significant technical challenges
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