Apple · 2 months ago
AIML - Machine Learning Engineer (MLOps), Evaluation
Santa Clara, California, United States
Full-time
Onsite
Mid, Senior Level
$147K/yr - $272K/yr
4+ years expApple is seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps. The role involves developing Apple Intelligence and driving the next generation of groundbreaking products across all Apple platforms.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Explore, design and implement advanced ML Infrastructure framework and tools
Establish standard methodologies for model integration, deployment, and monitoring using CI/CD principles
Ensure LLM services are scalable, efficient, and secure for high-traffic LLM services
Champion model observability, incident response, prompt versioning, and feedback loops
Use your ingenuity and creativity to resolve complicated and/or novel product and engineering challenges
Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability
Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions
Qualification
Required
4+ years in software engineering with experience in large-scale software system design and implementation
Proven track record of shipping production-grade ML/LLM systems
Strong understanding of LLMs, fine-tuning, prompt engineering, vector databases and RAG patterns
Experience with distributed systems, databases (SQL/NoSQL), cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Ability to tackle complex challenges, think critically, and deliver innovative solutions
Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment
Bachelor's degree in Computer Science, Engineering, or a related field
Preferred
Hands-on experience with observability and evaluation tools for LLMs
Solid understanding of machine learning algorithms, model evaluation metrics, and data processing pipelines
Previous experience in a high-growth tech company or similar environment
Active participation in open-source projects related to AI/ML or backend development
Master or Ph.D. in a related field
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase