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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
Pay & Benefits
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 $171,600 and $302,200, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.