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AIML - ML Engineer, Responsible AI and Safety

Apple· Machine Learning and AI
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Hybrid (Cupertino)$150.4k - $225.3kFull-timePosted 2mo ago

About the role

Applied ML Engineer focused on building and deploying production ML systems to detect abuse and protect user safety across text, image, and audio modalities. Responsibilities span end-to-end ML lifecycle, data strategy, and real-time enforcement in collaboration with researchers, engineers, and product teams.

Responsibilities

  • Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio).
  • Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and continuous improvement of models in production.
  • Drive the data strategy to continuously improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems.
  • Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
  • Collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.

Qualifications

  • 2+ years experience shipping machine learning models to production.
  • Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models.
  • Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow).
  • Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.
  • BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues.
  • Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
  • Experience building large-scale data processing pipelines and ML infrastructure.
  • Experience driving technical projects and collaborating with large, diverse, cross-functional teams.

Skills

Required:production ML model lifecyclemultimodal ML (text, image, audio)Pythondeep learning frameworkslarge language models / foundation models / diffusion models

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses (tuition)
  • discretionary bonuses or commission payments and relocation eligibility
  • Apple shareholder opportunities through stock programs
  • Employee Stock Purchase Plan
Last updated Oct 23, 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.

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