Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of ML for Manufacturing here at Apple by developing an extraordinary platform? This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine learning, research, and implementation. You can help inspire change by using your skills to influence globally recognized products.

At Apple's ADL (Advanced Development Lab), we seamlessly blend our expertise and creativity to deliver remarkable results that swiftly translate into exceptional products and customer experiences. We invite you to bring your visionary thinking and unwavering dedication to our esteemed organization. As a dynamic group of individuals, we take great pride in our work. Our specialized focus lies in crafting high-quality models, prototypes, and manufacturing/design solutions.

Description

In this pivotal role, you will take ownership of the end-to-end lifecycle of machine learning solutions, from cutting-edge research and model development to robust implementation and deployment. You will apply advanced ML techniques to optimize and innovate across critical manufacturing processes like machining and design for manufacturing (DFM). Our core mission is to craft and deploy high-quality, predictive ML models and intelligent prototypes that directly translate into superior manufacturing solutions, ensuring unparalleled quality and precision.","responsibilities":"Design, build, and own end-to-end GenAI capabilities that support both a centralized AI platform and prototyping teams, covering all aspects from prompt and tool design to agent orchestration, retrieval strategies, model selection, and system evaluation.

Leverage agentic AI patterns (multi-step reasoning, tool use, planning, memory, feedback loops) to support complex workflows, while establishing guardrails for reliable and predictable behavior.

Establish evaluation and monitoring strategies for GenAI-driven applications, focusing on output quality, correctness, safety, and business relevance through offline benchmarks, automated checks, and human-in-the-loop review.

Design, fine-tune, and deploy Large Language Models (LLMs), with a focus on hyperparameter optimization, experimental design (DOE), and rigorous evaluation.

Communicate trade-offs, system behavior, and limitations clearly to technical and non-technical stakeholders, enabling informed product and business decisions.

Collaborate with Apple's cross-functional teams to apply and deploy machine learning to industrial problems.

Preferred Qualifications

Master's or PhD degree in Computer Science, Math, Statistics, Physics, Engineering, or related level of experience.

Practical experience leveraging LLMs or GenAI models via APIs to create reliable and user-facing features or workflows.

Familiarity with common GenAI tools and frameworks, such as Lang Chain or similar, with the ability to learn and adapt as the ecosystem evolves.

Solid understanding of foundational ML concepts, including supervised, unsupervised, and reinforcement learning.

Experience applying deep learning frameworks, such as Py Torch/Torch, Tensor Flow, or Keras, to real-world applications.

Experience in data analytics, machine learning, and/or computer vision for manufacturing problems is a bonus.

Minimum Qualifications

Bachelor's degree in Computer Science, Math, Statistics, Physics, Engineering, or a similar field.

5+ years of hands-on experience in building machine learning algorithms to solve real-world problems.

Strong programming skills with proficiency in Python and GitHub.

Experienced user of machine learning libraries such as scikit-learn, scipy, and Tensorflow/Py Torch.

Ability to explain and present machine learning concepts and results to a broad technical audience and executives.

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 .

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 $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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.