AIML - ML Engineer, Safety & Red Teaming
Description For AIML - ML Engineer, Safety & Red Teaming
Apple is seeking a Machine Learning Engineer to join their HCMI group, focusing on safety and red teaming for generative AI applications. This role offers an exciting opportunity to work on cutting-edge generative models for vision and language, with a particular emphasis on safety, robustness, and uncertainty. You'll be part of a team developing the next generation of AI applications that will impact Apple's products and the broader world.
The position involves developing sophisticated tools and methodologies for assessing AI safety, working with large language models and diffusion models, and building robust evaluation pipelines. You'll be responsible for creating and maintaining tools that ensure the quality and safety of Apple's AI products, while working with state-of-the-art machine learning technologies.
This is an excellent opportunity for someone with strong technical skills in machine learning and a passion for AI safety. You'll work with highly sensitive content and be at the forefront of ensuring responsible AI development. The role offers competitive compensation, comprehensive benefits, and the chance to work with world-class teams at one of the most innovative companies in the world.
The ideal candidate will have extensive experience in machine learning, particularly in generative models and natural language processing, combined with strong engineering skills. You'll need to be comfortable working with complex technical challenges while maintaining high standards for code quality and system reliability. This role offers significant growth potential and the opportunity to shape the future of AI safety at Apple.
Responsibilities For AIML - ML Engineer, Safety & Red Teaming
- Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models
- Develop methods, models, and tools to interpret and explain failures in language and diffusion models
- Build and maintain human annotation and red teaming pipelines to assess quality and risk
- Prototype, implement, and evaluate new ML models and algorithms for red teaming LLMs
Requirements For AIML - ML Engineer, Safety & Red Teaming
- 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
- Work with highly-sensitive content with exposure to offensive and controversial content
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or equivalent qualification
Benefits For AIML - ML Engineer, Safety & Red Teaming
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Educational reimbursement
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan
- Discretionary bonuses
- Relocation benefits
- Product discounts
- Free services
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