Machine Learning Engineer, Vision Products Group

AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy.

In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices.

Description

As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale.

You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.","responsibilities":"Design and implement ML models and algorithms for conversational understanding, generation, and personalization

Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches

Translate research ideas into production-ready systems, collaborating across teams to ensure smooth integration

Contribute to end-to-end ML pipelines, from data exploration and model training to deployment and evaluation

Write clean, maintainable, and well-tested code that meets Apple's production standards

Participate in architecture discussions, design reviews, and peer code reviews

Help shape technical direction and contribute to roadmaps for next-generation AI capabilities

Preferred Qualifications

Experience with conversational AI systems or interactive ML-driven experiences

Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)

Familiarity with Apple platforms, frameworks, or ML infrastructure

Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products

Minimum Qualifications

Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)

Strong experience with deep learning, particularly in natural language processing and/or multimodal models

Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation

Familiarity with ranking, retrieval, and personalization algorithms

Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)

Experience integrating ML models into production systems

Strong communication skills and the ability to collaborate across disciplines

Curiosity, pragmatism, and a product-oriented mindset

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 .