Engineering Leader, AI Safety Engineering & Evaluation, Apple Services Engineering

What you'll do

• Set technical strategy and build, scale, and mentor a multidisciplinary organization responsible for AI safety engineering and evaluation.
• Develop rigorous automated evaluation methods, benchmarks, and testing capabilities to identify harmful content, bias, robustness issues, and other safety risks.
• Integrate safety assessment workflows into shared evaluation platforms and model development, experimentation, and release processes; partner across engineering, research, product, privacy, legal, and safety policy.

What they ask for

• 12+ years in software engineering, machine learning engineering, applied AI, or related technical disciplines, including delivery of complex production-quality systems.
• 8+ years of engineering or applied machine learning management, including at least 3 years managing engineering managers or leading multiple teams through established managers.
• Demonstrated experience building or transforming engineering organizations; strong software engineering foundation and practical expertise in machine learning and modern AI architectures.
• Strong foundation in Python and modern software development practices; bachelor's degree in a related technical field or equivalent practical experience.

Nice to have

• Experience leading AI/ML evaluation, automated model assessment, or applied machine learning teams; familiarity with generative AI, LLM-based evaluation, agentic systems, or adversarial testing.
• Experience with statistical analysis, experimental design, synthetic data generation, red teaming, Responsible AI, or integrating evaluation into engineering workflows.

Pay

$237,600 and $401,700 (USD, base pay)

Tools

Python, LLM-as-a-judge

AI focus

Leads AI safety evaluation, including model-based assessment, automated risk identification, adversarial testing, red teaming, and measurement of mitigation effectiveness.