About the role
Summary
We are 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 (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and empowers creativity. You’ll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.
Description
The team is a growing group that works closely with product, ML research, Data Science and infrastructure teams, to ensure the successful delivery of Apple Foundation models and Apple Intelligence evaluations. We are looking for a Machine Learning Engineer focusing on MLOps/LLMOps infrastructure to build a next generation LLM-powered evaluation systems. In this role, you will be instrumental in scaling our internal evaluation platform, building automation and self-service tools, and ensuring the reliability and efficiency of large-scale LLM services. You will have the opportunity to create huge impacts across all AI products through innovations.
Minimum Qualifications
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 Qualifications
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.
Skills & Tags
Aplyr's read
Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
What's promising
- •Apple consistently leads in tech innovation with a strong focus on design and user experience.
- •The company's global brand recognition offers employees a prestigious platform for career growth.
- •Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.
What to watch
- •High-pressure work environment with demanding deadlines can impact work-life balance.
- •Apple's secretive culture may limit transparency and cross-departmental communication.
- •Dependence on hardware sales makes the company vulnerable to market saturation risks.
Why Apple
- •Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
- •The company has a unique retail presence with its own stores enhancing customer experience.
- •Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Apple
Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.
