Human-Centered AI ML Engineer — Evaluation & Insights

Socket.dev; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple is seeking a Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. You will bridge human perception with model performance, architect evaluation frameworks, and design MLOps pipelines to assess and improve large-scale AI systems.

You will work with data scientists, researchers, and engineers to ensure AI experiences are safe, reliable, and aligned with human expectations across features like search and recommendations.

Qualifications

• 5+ years of relevant industry experience in ML Engineering or Applied Research.
• Advanced proficiency in Python and modern deep learning ecosystems (PyTorch, JAX, Hugging Face).
• Proven experience building scalable ML inference pipelines, model-evaluation workflows, and structured rating frameworks for large-scale AI systems.
• Strong ability to interpret unstructured model outputs and synthesize qualitative findings into actionable guidance and training objectives.
• Hands-on experience developing, fine-tuning, or evaluating LLMs, multimodal models, and NLP systems.
• Deep familiarity with AI quality metrics, hallucination detection techniques, and LLM-as-a-judge frameworks.
• Experience building internal tools or automated pipelines for ML workflows using tools like MLflow, Weights & Biases, or similar platforms.
• Strong familiarity with advanced prompt engineering, RAG architectures (vector databases, semantic search), and Fine-Tuning.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Cognitive Science, or related field

Responsibilities

• Bridge the gap between human perception and algorithmic performance to evaluate AI systems.
• Architect robust evaluation frameworks for foundation models and generative AI.
• Design scalable MLOps pipelines for model assessment and monitoring.
• Translate qualitative failure modes into programmatic guardrails and training signals (e.g., SFT, RLHF/DPO).
• Collaborate with Software Engineering, Product, Research and Responsible AI teams to ensure reliable and safe AI experiences.

Skills

Python

PyTorch

JAX

Hugging Face

LLMs

NLP

Model evaluation

ML inference pipelines

RAG architectures

Fine-Tuning

Education

Bachelor's or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related technical field

Tools

MLflow

Weights & Biases

Vector databases

Semantic search

Job description

Apple is seeking a Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. You will bridge human perception with model performance, architect evaluation frameworks, and design MLOps pipelines to assess and improve large-scale AI systems.

You will work with data scientists, researchers, and engineers to ensure AI experiences are safe, reliable, and aligned with human expectations across features like search and recommendations.