Engineering Manager, Machine Learning & NLP, Input Experience

We are looking for an engineering manager who can work at the intersection of ML, NLP and software engineering, specifically focused on innovating and evolving our data, tooling, modeling and evaluation pipelines with agentic harnesses, to scale globally. We are shifting the entire paradigm of ML product development across feature definition, data synthesis, model training, auto-evaluation, model probing, evaluation and user feedback to agentic workflows. You will have the opportunity to define and execute state-of-the-art paradigm for a swathe of high-impact features and languages, creating ML playbooks for scale, and influencing the rest of Apple. You will also be responsible for building and refining the personalized agent trajectory pipelines for data and evaluation across synthetic personas and languages. The role provides an opportunity to join an ambitious, collaborative team in a unique position to bridge the gap between cutting-edge ML research and features used by millions. You will work closely with cross-functional partners in human interfaces, user studies, internationalization, and system integration. You are not just developing technology; you are crafting experiences that feel like magic to the end user.

Description

As an engineering manager, you will enable the next-generation of agentic ML product development systems at scale using Apple Foundation Models. You will sit at the intersection of cutting-edge research and product reality, bridging the gap between raw model performance and the nuanced needs of Apple customers worldwide. You will explore, design, and implement emerging techniques, ensuring alignment with product goals, privacy requirements, and performance metrics in a hands-on role. The role requires technical depth across ML & NLP, with a solid understanding of building scalable ML pipelines. You will redefine the ML development process across features and languages: problem formulation, experimentation, evaluation, fine-tuning, and continuous improvement that both the depth of Apple Intelligence’s capabilities and the breadth of its support for our global customer base.

Preferred Qualifications

Experience with deploying large ML models for real world products and leading high-performing teams

Experience curating, filtering, and synthesizing high-quality training datasets at scale

Familiarity with ML pipelines that need to scale across languages

Experience developing and training models for agentic workflows, tool calling and advanced reasoning techniques

Familiarity with working and managing complex, large-scale codebases, with a strong emphasis on writing high-quality, maintainable, and well-tested code.

Experience using AI-assisted development tools (e.g., Claude, Copilot, or similar) to accelerate experimentation, code development, and research workflows

Minimum Qualifications

Masters or PhD in Computer Science, Electrical Engineering, Physics, Statistics or related field; or equivalent practical experience

Prior experience with technical leadership or engineering management

Strong foundation in Data Science and MLOps

Familiarity with product ML/NLP lifecycle

Familiarity with techniques such as SFT, RLHF, Data Synthesis, Parameter-Efficient Fine-Tuning, LLM-judge evaluation

Excellent communication skills

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 $237,600 and $356,400, 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.