AIML - ML Engineer, Responsible AI
Apple
Job Summary
This role involves building the next generation of generative AI applications. We are seeking scientists and engineers for ambitious projects impacting Apple's future products and the broader world. You will tackle innovative problems in machine learning, specifically generative AI, as part of the Apple HCMI group. The team focuses on large generative models for vision and language, with a particular interest in safety, robustness, and uncertainty.
Must Have
- Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models over the model deployment lifecycle
- 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 of various Apple products
- Prototype, implement, and evaluate new ML models and algorithms for red teaming LLMs
- Work with highly-sensitive content with exposure to offensive and controversial content
- 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
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification
- Proven track record of contributing to diverse teams in a collaborative environment
Perks & Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- A range of discounted products and free services
- Reimbursement for certain educational expenses — including tuition (for formal education related to advancing your career)
- Opportunity to become an Apple shareholder through participation in discretionary employee stock programs
- Eligible for discretionary restricted stock unit awards
- Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
- Eligible for discretionary bonuses or commission payments
- Relocation
Job Description
Would you like to play a part in building the next generation of generative AI applications? We're looking for scientists and engineers to work on ambitious projects that will impact the future of our products, and the broader world. In this role, you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on generative AI. As a member of the HCMI group, you will be working on generative models that will power a wide array of new features. Our team is currently working on large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in models.
- Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models over the model deployment lifecycle
- 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 of various products
- Prototype, implement, and evaluate new ML models and algorithms for red teaming LLMs
- Work with highly-sensitive content with exposure to offensive and controversial content
- 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
- 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
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Employees also have the opportunity to become a shareholder through participation in discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in the Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
This is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Accepts applications to this posting on an ongoing basis.