Senior Software Engineer
Apple
Software Engineering
Sunnyvale, CA, USA
Posted on Nov 9, 2024
Summary
Posted:
Weekly Hours: 40
Role Number:200577466
Apple is where exceptional people gather to create groundbreaking products. If you’re driven by the opportunity to make an impact and passionate about advancing technology, a career with Apple may be your ideal path. Here, we combine cutting-edge software engineering with the power of machine learning to build systems that shape the future. We're seeking a Senior Software Engineer who values exceptional user experiences and has a passion for creating world-class products. Join a results-oriented, innovative team working on high-visibility projects within Apple’s Operations organization, where growth and collaboration are core values. If this resonates with you, we encourage you to consider joining us!
Description
We are seeking a Senior Software Engineer with both strategic vision and hands-on engineering expertise. This individual will be responsible for defining and implementing the architecture, roadmap, and deployment of our intelligent systems. Ideal candidates will have strong engineering and machine learning expertise, with the ability to guide complex projects from concept to adoption.
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Machine Learning, or related field.
- 8+ years of software development experience with a focus on software engineering and machine learning.
Key Qualifications
Preferred Qualifications
- Expertise in developing large-scale, distributed computing systems.
- Proficiency in designing, implementing, and supporting scalable systems.
- Familiarity with embeddings, retrieval algorithms, agent frameworks, and data modeling for vector databases.
- Proven track record in architecting and deploying intelligent systems, from strategy to execution.
- Strong proficiency in languages like Python, Java, or similar, with a solid understanding of frontend frameworks.
- Deep knowledge of ETL and software engineering tools, including Apache Spark, Kafka, and Airflow.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with agent-based AI frameworks like CrewAI and Langchain, along with LLMs and LGMs.
- Skilled with cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes).
- Passion for solving complex problems and uncovering hidden insights through data.
- Ability to translate technical AI concepts into clear, business-focused insights and communicate effectively with stakeholders.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.