ML Engineer: On-Device AI & Vision Systems

Apple Inc.; Seattle (WA); On-site; USD 139,500 - 258,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock programs

Educational reimbursement

Discounted products and free services

Job summary

A global technology company in Seattle is seeking a Machine Learning Engineer to develop and improve machine learning models and features. The role involves building data pipelines, scaling up model training, and implementing cutting-edge algorithms. Ideal candidates will be proficient in Python and familiar with deep learning frameworks, particularly PyTorch. Besides competitive compensation ranging from $139,500 to $258,100, the company offers extensive medical benefits, stock options, and educational reimbursements.

Qualifications

• Experience with training ML models, including deep learning models.
• Experience in object detection, facial recognition, and/or temporal machine learning.
• Experience crafting and defining datasets and metrics for novel tasks.

Responsibilities

• Develop features and models to improve machine learning capabilities.
• Scale up model training, build data pipelines, and tune systems.
• Review and implement pioneering machine learning algorithms.
• Build software to enhance the rate of experimentation.

Skills

Proficient in Python

Deep learning frameworks (e.g., PyTorch)

Able to define metrics and perform error analysis

Familiar with recent advances in deep learning

Education

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

Job description

A global technology company in Seattle is seeking a Machine Learning Engineer to develop and improve machine learning models and features. The role involves building data pipelines, scaling up model training, and implementing cutting-edge algorithms. Ideal candidates will be proficient in Python and familiar with deep learning frameworks, particularly PyTorch. Besides competitive compensation ranging from $139,500 to $258,100, the company offers extensive medical benefits, stock options, and educational reimbursements.