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217 Apple Jobs
Machine Learning Engineer - LLM
Apple
posted 11hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple s supply chain and manufacturing processes. As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories. Youll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company.
Minimum Qualifications
Minimum Qualifications - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
- Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
Key Qualifications
Key Qualifications Preferred Qualifications
Preferred Qualifications - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus.
- Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving.
- Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.
- Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn.
- Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus.
- Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference.
- Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.
- Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus.
- Proven experience in leading and mentoring teams is a plus.
Education Experience
Education Experience Additional Requirements
Additional Requirements Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Machine Learning Engineer roles with real interview advice
Top Apple Machine Learning Engineer Interview Questions
Q1. Kevin and his Fruits Problem Statement Kevin has 'N' buckets, each consisting of a certain number of fruits. Kevin wants to eat at least 'M ... read more
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Q2. Minimum Umbrellas Problem You are provided with ‘N’ types of umbrellas, where each umbrella type can shelter a certain number of people. Gi ... read more
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Q3. Lazy Santa Problem Statement It's Christmas and Santa has 'K' gifts to distribute. There are 'N' children standing in a straight line in th ... read more
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What people at Apple are saying
Machine Learning Engineer salary at Apple
reported by
4
employees
with 3-10
years exp.
₹23
L/yr - ₹55
L/yr
340%
more
than the average Machine Learning Engineer Salary in India
View more details
What Apple employees are saying about work life
based on 543 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Apple Benefits
Job Training 
Soft Skill Training 
Health Insurance 
Team Outings 
Work From Home 
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