← All roles

Machine Learning Engineer - AI & ML Evaluation Frameworks

Apple· Hardware
Apply on company site
Cupertino, California$150.4k - $277.6kFull-timePosted 4mo ago

About the role

ML Engineer to build scalable evaluation infrastructure, conduct rigorous ML evaluations, and derive actionable insights to ensure health sensing features are safe, reliable, and demographically equitable. Focus on unimodal and multi-modal foundation models, synthetic data pipelines, and production-grade evaluation tools.

Responsibilities

  • Design robust methodologies and scalable frameworks to assess the performance, reliability, and safety of both traditional ML and foundation models (e.g., LLMs, diffusion models).
  • Drive failure analysis along with building instrumentation to detect clinical hallucinations, reasoning flaws, and edge cases.
  • Expand LLM/diffusion-based data generation pipelines that enable model training and evaluation without exposing real user data.
  • Build data adaptors and visualizers to fuse asynchronous time-series signals (wearables, camera, behavioral metadata).
  • Develop generalizable tools and metrics to discover biases and measure demographic equity across diverse populations
  • Translate evaluation results into actionable engineering insights for GenAI researchers, algorithm leads, and clinical experts.

Qualifications

  • BS in Computer Science, Machine Learning, Statistics, or related field
  • 3+ years of experience in ML Engineering or Applied ML
  • Strong experience in evaluating supervised, unsupervised, LLMs and deep learning models.
  • Proficiency in Python with the ability to write production-grade code (OOP, CI/CD, Git)
  • Hands-on experience in failure analysis, evaluating LLMs and driving subsequent model improvements
  • Experience building data pipelines, inference frameworks, and automated evaluation systems
  • Strong communication skills to articulate complex technical concepts across technical and non-technical audiences
  • MS/PhD in Computer Science, Machine Learning, Statistics, or related field
  • Experience evaluating LLMs or agentic systems (e.g., LLM-as-a-judge, RAG evaluation)
  • Experience with synthetic data generation and prompt engineering
  • Experience in parallel data processing (Spark, Kubernetes, Airflow) or privacy-preserving ML (Federated Learning)
  • Background in AI Safety, model interpretability, or adversarial testing
  • Interest in digital health and clinical rigor

Skills

Required:PythonML EvaluationFailure AnalysisData PipelinesCommunication
Nice to have:Synthetic Data GenerationParallel Data ProcessingAI Safety / Interpretability

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • eligible for discretionary bonuses or commission payments as well as relocation
  • Apple shareholder opportunities via stock programs
  • Education-related benefits and various perks as part of the compensation package
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple