ML Engineer — Health AI Evaluation & Safety Frameworks

Apple Inc.; Cupertino (CA); On-site; USD 147,400 - 272,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Job summary

Apple Inc. is seeking an exceptional ML Engineer to join the Health Sensing Machine Learning Interpretability & Analytics team in Cupertino, California. The role involves developing scalable evaluation tools and ensuring model performance and safety for health sensing features.

Candidates should possess a BS in Computer Science or a related field, alongside 3+ years of experience in ML Engineering. A strong proficiency in Python and experience in failure analysis and data pipelines are essential. Apple offers a competitive compensation package and various employee benefits.

Qualifications

• 3+ years of experience in ML Engineering or Applied ML.
• Strong experience in evaluating supervised, unsupervised, LLMs and deep learning models.
• Experience building data pipelines, inference frameworks, and automated evaluation systems.
• Hands-on experience in failure analysis.

Responsibilities

• Design robust methodologies and scalable frameworks to assess model performance.
• Drive failure analysis and build instrumentation for clinical hallucinations.
• Develop tools to discover biases and measure demographic equity.
• Translate evaluation results into actionable insights for researchers.

Skills

Python

Machine Learning

Deep Learning

Failure Analysis

Data Pipelines

Communication Skills

Education

BS in Computer Science or related field

Tools

Kubernetes

Spark

Airflow

Job description

Apple Inc. is seeking an exceptional ML Engineer to join the Health Sensing Machine Learning Interpretability & Analytics team in Cupertino, California. The role involves developing scalable evaluation tools and ensuring model performance and safety for health sensing features.

Candidates should possess a BS in Computer Science or a related field, alongside 3+ years of experience in ML Engineering. A strong proficiency in Python and experience in failure analysis and data pipelines are essential. Apple offers a competitive compensation package and various employee benefits.