Machine Learning Engineer - Agentic AI

The VCV organization has pioneered human-centric, real-time technologies such as Face ID, FaceKit, and gaze and hand gesture control, transforming how millions of people interact with their devices by balancing research and product requirements to deliver Apple-quality experiences through full-stack innovation and close collaboration across HW, SW, and AI teams. Our team develops and integrates large language models (LLMs) and other cutting-edge AI techniques to enhance the autonomy and intelligence of our agentic systems.

We are looking for an experienced engineer to design and build end-to-end agentic systems. This role focuses on developing systems that integrate large language models, tools, and data systems to execute multi-step workflows in production environments. You will work across the full stack to translate complex problems into reliable, scalable systems.

Description

You will design and implement agentic systems built around large language models (LLMs) that extend beyond traditional machine learning pipelines. The work will require making tradeoffs between latency, cost, accuracy, and controllability, including decisions between deterministic pipelines and adaptive, LLM-driven approaches within agentic system design.","responsibilities":"Build systems that combine models, tools, and data into cohesive, agentic workflows capable of executing multi-step tasks. This includes designing system behaviors such as planning, tool use, structured outputs, and failure handling.

Develop infrastructure for evaluating and improving agentic system performance, including quality, reliability, and cost, and build monitoring and observability systems to understand behavior in production.

Integrate LLMs with internal and external tools, enabling agentic systems to retrieve context, call APIs, and execute actions as part of end-to-end workflows.

Collaborate with cross-functional teams to translate product requirements into scalable agentic systems, and continuously improve system performance through iteration and evaluation.

Preferred Qualifications

Strong system design experience, including defining and evolving architecture for complex, multi-component systems.

Experience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.

Minimum Qualifications

Minimum requirement of a bachelors degree.

Proven knowledge of cutting-edge agentic systems.

Demonstrated experience designing and shipping agentic systems in production environments.

Strong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.

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 $129,300 and $194,700, 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.