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Machine Learning Applied Research Scientist - Job Opportunity at Apple

Cupertino, USA
Full-time
Senior
Posted: January 19, 2025
On-site
USD 143,100 - 264,200 per year

Benefits

Premium Health Insurance with comprehensive medical and dental coverage
Competitive RSU Grant Program with significant growth potential
Employee Stock Purchase Plan with purchase discount
Comprehensive Retirement Plan with company matching
Educational Reimbursement Program for career advancement
Performance-Based Bonus Structure
Relocation Assistance Package

Key Responsibilities

Lead development of state-of-the-art ML models for software development optimization
Design and implement scalable ML solutions for Apple's developer ecosystem
Drive innovation in Natural Language Processing applications
Architect evaluation infrastructure and inference systems
Collaborate with cross-functional teams for product integration
Guide data generation and model training strategies

Requirements

Education

MS in Computer Science or related experience

Experience

Extensive experience with applied machine learning

Required Skills

Applied machine learning Software engineering Data engineering Natural Language Processing Reinforcement learning
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Sauge AI Market Intelligence

Industry Trends

AI tooling for developer productivity is experiencing rapid growth with major tech companies investing heavily in ML-powered development tools Natural Language Processing is becoming increasingly critical in developer tools, particularly with the rise of AI pair programming and code generation The convergence of ML and software development tools represents a strategic focus for tech giants seeking competitive advantages in developer ecosystems

Salary Evaluation

The offered salary range is highly competitive for the Silicon Valley market, positioning at the 75th-85th percentile for similar roles. The wide range (143K-264K) indicates significant room for negotiation based on experience and expertise.

Role Significance

Typically part of a specialized team of 5-8 ML scientists and engineers, working within a larger developer tools organization
Senior individual contributor role with significant technical leadership expectations and direct impact on Apple's developer ecosystem

Key Projects

Developer productivity optimization systems Code analysis and recommendation engines Natural language processing for code understanding ML-powered developer assistance tools

Success Factors

Deep expertise in applied ML with practical implementation experience Strong software engineering fundamentals and system design capabilities Ability to balance research innovation with practical product implementation Excellent collaboration skills for cross-functional product development

Market Demand

Very High - The intersection of ML research and developer tools represents a critical growth area with increasing demand across the tech industry

Important Skills

Critical Skills

Applied ML expertise with focus on practical implementation Natural Language Processing for developer tools Software engineering fundamentals System design and scalability

Beneficial Skills

Reinforcement learning Developer tools and workflows Large-scale distributed systems Product development experience

Unique Aspects

Rare opportunity to impact millions of developers through ML innovations
Direct integration with Apple's developer ecosystem provides unique scale and feedback loop
Balance of research innovation with practical product implementation
Access to Apple's extensive computational resources and proprietary datasets

Career Growth

2-4 years in role before advancement, depending on impact and organizational needs

Potential Next Roles

Principal ML Scientist Technical Director - ML Research Engineering Manager - ML Platform Chief Scientist

Company Overview

Apple

Apple represents the pinnacle of consumer technology innovation with a strong focus on integrating advanced ML capabilities across its ecosystem

Industry leader with significant resources for ML research and development, offering unique scale and impact opportunities
Silicon Valley headquarters location provides access to premier ML talent and research communities
High-performance environment with emphasis on quality, innovation, and significant autonomy in technical decision-making
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