AIML - Sr Machine Learning Engineer, Modeling Evaluation & Data

Advance the performance of Apple Intelligence Large Language Models, across Apple platforms, languages, and modalities.

Advise the data training and product roadmap for Foundation Models. Source novel datasets and run ablation studies to inform training hill-climbing.

Identify high signal relevant public benchmark datasets to guide model development. Prototype and productionalize LLM-based applications to improve model development life cycle.

Design detailed evaluation methodologies in close partnership with engineering and product teams to support critical go/no-go decisions.

Develop and evangelize robust metrics for hillclimbing. Regularly present to partner teams and executive sponsors, both at a technical and high level.

Strong communication skills and experience persuading both technical audiences and high level executive audiences.

Passion for Apple products., Bachelors degree and 7+ years of work experience in Data Science, Machine Learning, or Engineering.

Experience training and evaluation LLMs.

Strong intuition for metrics, including their strengths and shortcomings.

A track record of positive impact on shipped products.

At Apple, 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 $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s 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 at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

At Apple, we blend world-class hardware, software, and services to produce a tight ecosystem of products used by billions of people around the world.

Machine Learning and AI models are integrated throughout our ecosystem to enhance the user experience. Ensuring a delightful end to end user experience requires well-thought out data curation, rigorous evaluation methodology, and a high signal north star metric.

Guiding feature development across the entire product life cycle requires partnering closely with modeling teams, engineers, design, and others. At Apple’s scale, it’s paramount that methods scale across platforms, user-model mediums, and languages.