Job Title

Applied ML Engineeru2013 Foundation Models & Multimodal Intelligence Sunnyvale, California, United States Machine Learning and AI Summary Posted: Jul 23, 2025 Role Number: 200613724-3956 Join us in shaping the next generation of AI-powered experiences at Apple. We are engineering scalable foundation model systems that power intelligent, natural, and privacy-conscious user experiences used by millions worldwide. As part of the Multimodal Intelligence Team (MINT), which has delivered innovations from the Apple Foundation Model to products like Visual Intelligence, you will focus on building end-to-end pipelines that enable foundation models and multimodal agents to reason, plan, and perform complex tasks. This role sits at the intersection of research and large-scale engineering. You will work closely with scientists and product teams to turn state-of-the-art methods into robust, production-ready systems, pushing the limits of what foundation models can achieve when grounded in real-world data, multi-sensor inputs, and Appleu2019s unique ecosystem. Description As an ML Engineer, you will drive the development of large-scale training and inference pipelines for foundation models, enabling agentic system to adapt to Appleu2019s diverse ecosystem. You will design and optimize data workflows that handle vast multimodal datasets, ranging from text and images to other sensory data, and build evaluation frameworks that measure not just raw performance, but reasoning capabilities and task success in real-world scenarios.Work hand-in-hand with researchers to translate cutting-edge advances, such as new alignment, grounding, and reasoning techniquesu2014into production-grade implementations, striking a balance between rapid experimentation and solid engineering practices. Strong software engineering principles, from reproducible training setups to reliable CI/CD for ML, will be critical to ensure these models scale to millions of users while meeting Appleu2019s high standards for efficiency, security, and privacy. This role is ideal for engineers who are passionate about turning foundation models into capable, reasoning agents, who thrive at the interface between research and large-scale systems, and who are excited to define how multimodal intelligence will shape the next generation of Apple products. Minimum Qualifications + BS and a minimum of 3 years relevant industry experience. + Proficiency in Python and at least one deep learning framework (PyTorch, JAX, or TensorFlow). + Hands-on experience with large-scale distributed training pipelines and data engineering for ML. + Software engineering skills, including modular design, testing, and performance optimization. Preferred Qualifications + Masteru2019s, or PhD in Computer Science, Machine Learning, or related technical field, or equivalent industry experience. + Strong experience in machine learning engineering, with expertise in large-scale training, fine-tuning, or deployment of deep learning models. + Experience with foundation models (language, vision, or multimodal). + Familiarity with agentic or reasoning-based model pipelines, such as tool-use orchestration, chain-of-thought reasoning, or planning systems. + Expertise in large-scale data pipelines (data curation, preprocessing, and efficient storage). + Experience evaluating and optimizing models for multimodal reasoning and task completion. + Knowledge of retrieval-augmented generation (RAG), personalization, or grounding techniques. + Experience optimizing models for production deployment (latency, memory, quantization, or on-device adaptation). + Familiarity with privacy-preserving ML or federated learning. + Ability to collaborate effectively with researchers and product engineers in a cross-functional environment. 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 $147,400 and $272,100, 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 Appleu2019s 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 Appleu2019s Employee Stock Purchase Plan. Youu2019ll 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 u2014 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. 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 (. 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 (. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youu2019re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.