Senior ML Engineer - Generative AI Agents

Apple

Apple

Software Engineering, Data Science
Cupertino, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Nov 12, 2025
We are seeking a passionate Lead Machine Learning Engineer specializing in agentic generative AI. You will help shape intelligent features for Apple’s flagship video editing products, including Final Cut Pro and iMovie. Your mission is to elevate the workflows of millions of creators by combining generative AI with Apple’s human-centered design principles.
Contribute to the technical vision and roadmap for agent-based features across our video editing suite. Lead the end-to-end lifecycle of AI agents: ideation, prototyping, evaluation, privacy and safety, productionization, deployment, monitoring, and iteration. Build and scale agents that can reason, plan, learn, use tools, and act across diverse user journeys and multimodal workflows. Develop novel evaluation methodologies and benchmarks for agent behavior; define and track clear success metrics. Design privacy-preserving architectures, with a focus on reliability, on-device capabilities, and user trust. Optimize agents for latency, scalability, cost, and quality across on-device and cloud environments. Partner closely with product, design, engineering, marketing, and research to turn high-impact ideas into robust, production-grade experiences. Mentor and elevate the team through best practices, code reviews, and technical guidance.
  • Minimum Qualifications:
  • Must have at least 5+ years of hands-on machine learning experience.
  • MS or PhD in computer science, machine learning, or a related field, or equivalent practical experience.
  • Strong Python skills
  • Applied experience with a range of LLMs.
  • Expertise in applying and extending agent frameworks (e.g., Google ADK, LangChain, MCP).
  • Excellent communication skills with the ability to influence across teams.
  • Proven track record building AI agents, tool-using LLMs, and multimodal LLM systems.
  • Experience with reinforcement learning.
  • Experience designing evaluation frameworks and metrics for agentic systems.
  • Strong background optimizing agents for latency, scalability, and cost.
  • Experience designing and implementing workflow orchestration and execution systems.
  • Understanding of AI memory systems and long-term memory management.
  • Bonus: Experience with Objective-C and Swift.
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.

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 accepts applications to this posting on an ongoing basis.