AIML – Machine Learning Engineer – Special Projects

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives.

Here, you’ll do more than join something – you’ll add something.

Responsibilities

• Design and implement machine learning algorithms to aid in building user-facing interactive conversational features

• Leverage multi-modal foundation models for rapid prototyping and iteration

• Develop evaluation strategies to translate product requirements to objective metrics

• Shepherd data collection and evaluation efforts to ensure rapid and measurable progress

• Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems (for example, Siri and Apple Intelligence features in Apple’s operating systems)

Preferred Qualifications

• PhD in Computer Science, Machine Learning or a related technical field

• 4+ years of hands‑on industry experience with Machine Learning systems

• Proficiency in training and evaluation of foundation models and frameworks

• A track record of publications or technical presentations in Machine Learning journals or conferences

• Excellent at communication and cross‑functional collaboration

Minimum Qualifications

• Master’s degree in Computer Science or other STEM majors

• Experience with the use and evaluation of foundation models

• Proficiency in Python and ML frameworks (PyTorch or Tensor Flow)

• 2+ year of hands‑on industry experience building and evaluating Machine Learning or Natural Language Processing systems

Company

Apple

Experience Level

Senior (5+ years of experience)

EEO Statement

Apple 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. Learn more about your EEO rights as an applicant.

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