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AIML - Machine Learning Engineer, MIND - Job Opportunity at Apple

Seattle, US
Full-time
Senior
Posted: April 26, 2025
On-site
USD 166,600-250,600 per year

Benefits

Comprehensive medical and dental coverage with industry-leading provider networks
Competitive retirement benefits package with company matching
Equity compensation through RSU grants and discounted ESPP participation
Education reimbursement for career advancement
Performance-based bonuses and commission opportunities
Relocation assistance available

Key Responsibilities

Lead development of ML-based features and products with direct impact on Apple's core offerings
Architect and optimize end-to-end ML production pipelines from dataset creation to deployment
Drive innovation in model training and on-device inference optimization
Scale and enhance system performance through advanced data pipeline engineering
Implement and validate cutting-edge machine learning algorithms
Design and develop experimentation frameworks to accelerate innovation

Requirements

Education

Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field

Experience

4+ Years of experience in embedded Machine Learning design

Required Skills

Proficient in Python and deep learning frameworks like PyTorch Experience with training ML models including deep learning based models Able to define metrics, evaluate ML models, and perform error analysis Familiar with recent advances in deep learning Experience with modeling vision problems in object detection and facial recognition (preferred) Experience with building efficient ML models through HW/SW co-design (preferred) Experience crafting and defining datasets and metrics for novel tasks (preferred) Experience with shipping ML features and products (preferred)
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Sauge AI Market Intelligence

Industry Trends

The embedded ML market is experiencing rapid growth with increasing demand for on-device AI capabilities, particularly in consumer electronics and mobile devices. This role reflects Apple's strategic push to maintain leadership in device-native AI processing. There's a significant industry shift towards hardware-software co-design for ML optimization, indicating Apple's focus on creating highly efficient, device-specific ML solutions. The emphasis on computer vision applications suggests Apple's continued investment in advanced sensing and recognition technologies for future product innovations.

Salary Evaluation

The offered salary range is competitive for senior ML roles in Seattle, positioning at the 75th percentile for similar positions. The wide range (166.6k-250.6k) indicates strong consideration for experience and specialized expertise.

Role Significance

Likely part of a specialized team of 5-8 ML engineers within the larger MIND organization, with close collaboration with research, product, and hardware teams.
Senior individual contributor role with significant technical ownership and strategic impact on Apple's ML infrastructure and product features.

Key Projects

Development of on-device ML features for flagship Apple products Research and implementation of novel computer vision algorithms Creation of efficient ML models optimized for Apple's custom silicon Building scalable ML training and deployment pipelines

Success Factors

Deep expertise in embedded ML systems and hardware optimization Strong track record of shipping production ML features Ability to balance innovation with practical implementation constraints Experience with large-scale ML infrastructure and optimization

Market Demand

Very high demand with significant competition for talent, particularly for candidates with embedded ML experience and product shipping track record.

Important Skills

Critical Skills

Embedded ML expertise is crucial for optimizing models for Apple's devices Python and PyTorch proficiency enables rapid prototyping and deployment Computer vision experience aligns with key product features

Beneficial Skills

Hardware architecture knowledge enhances optimization capabilities Experience with ML infrastructure scaling Familiarity with mobile ML frameworks

Unique Aspects

Direct involvement in Apple's ML infrastructure development
Opportunity to work on both current products and future innovations
Access to Apple's custom silicon and hardware capabilities
Balance of research innovation with practical product implementation

Career Growth

Typical progression to next level within 2-3 years, depending on impact and innovation contributions.

Potential Next Roles

Principal Machine Learning Engineer Technical Lead - ML Infrastructure ML Architecture Lead Research Scientist - Applied ML

Company Overview

Apple

Apple's MIND team represents a strategic investment in advanced ML capabilities, bridging research innovation with product implementation.

Industry leader in consumer technology with significant resources and impact potential for ML innovations.
Seattle office serves as a key ML/AI hub, competing directly with other tech giants in the region.
Fast-paced, innovation-focused environment with high emphasis on product quality and user impact.
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