AI/ML Engineer

4 weeks ago

Seattle, Washington, United States Apple Full time
Job Title: AI/ML Engineer - Safety & Red Teaming

At Apple, we're pushing the boundaries of what's possible with AI and machine learning. We're seeking a talented AI/ML Engineer to join our team and contribute to the development of safe and robust generative models.

Key Responsibilities:
  • Develop and maintain models, tools, and metrics for assessing and evaluating the safety of generative models throughout their lifecycle.
  • Collaborate with cross-functional teams to design and implement human annotation and red teaming pipelines for assessing the quality and risk of Apple products.
  • Prototype, implement, and evaluate new ML models and algorithms for red teaming large language models.
Requirements:
  • Strong engineering skills and experience in writing production-quality code in Python, Swift, or other programming languages.
  • Background in generative models, natural language processing, LLMs, or diffusion models.
  • Experience with failure analysis, quality engineering, or robustness analysis for AI/ML-based features.
  • Experience working with crowd-based annotations and human evaluations.
  • Experience working on explainability and interpretation of AI/ML models.
Preferred Qualifications:
  • BS, MS, or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues.
  • Proven track record of contributing to diverse teams in a collaborative environment.
What We Offer:
  • Competitive base pay range: $166,600 - $296,300.
  • Discretionary employee stock programs, including restricted stock unit awards and the Employee Stock Purchase Plan.
  • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
  • Reimbursement for certain educational expenses related to advancing your career at Apple.

Apple is an equal opportunity employer committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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