AIML - ML Engineer, Responsible AI and Safety
- Location
- Cupertino
- Salary range
- Not stated
- Workplace
- In office
- Level
- Individual contributor
- Job family
- AI Safety
- Posted
- 2 months ago
The T&S Network estimates this role to be P2, Professional. The typical base salary for that level in Safety Engineering & Data Science is $150k to $220k at an employer this size in the San Francisco Bay Area. Key skills at this level: builds and ships detection or enforcement systems in production, evaluates a classifier on the metric that matches the harm, not on accuracy, and works with labeled data of uneven and adversarial quality.
Why this level
Estimated from the posting rather than stated by the employer: asks for 2+ years · the title reads as P2.
The role, in T&S terms
Written by the T&S Network from Apple's posting.
Builds and runs the machine learning models that detect abuse across Apple's products and platform, covering text, image and audio. The team protects users from emerging threats and keeps the integrity of Apple's ecosystem intact while respecting user privacy.
What you'd do
- Design, build and deploy production ML models that detect and mitigate abuse across text, image and audio.
- Own models end to end, from prototyping and data analysis through deployment, monitoring and ongoing improvement.
- Analyze distribution gaps, contribute to synthetic data pipelines and build automated annotation systems.
- Architect systems that monitor platform activity, detect misuse and trigger automated enforcement in real time.
- Work with engineering, research and product partners to set requirements and deliver security solutions.
What it asks for
- 2+ years shipping machine learning models to production, owning the full model lifecycle.
- Working familiarity with LLMs, foundation models and diffusion models.
- Proficient in Python and deep learning toolkits such as JAX, PyTorch or TensorFlow.
- Can tolerate prolonged exposure to disturbing material while building detection systems.
- Degree in computer science, ML or a related discipline, or equivalent skills from other routes (preferred)
- Hands-on fine-tuning or alignment of LLMs for security or safety use (preferred)
- Building large-scale data pipelines and ML infrastructure (preferred)
Worth knowing
- Working with sensitive and offensive content is part of the role.
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Apple before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Apple

The employer
About Apple
Media and streaming · Marketplaces and commerce · Cupertino, CA · More than 100,000 people · Founded 1976
Consumer hardware and software company, running the App Store, iMessage and iCloud.
Moderation, reported
Apple files its moderation decisions with the European Commission, separately for each service below. The newest we hold cover May 2026.
- App Store
- Apple Books (ebooks)
- Apple Podcasts Subscriptions
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