Senior Software Engineer

Summary

Posted: Nov 8, 2024

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.

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.

Pay & Benefits

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 $175,800 and $264,200, 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.

More

• 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.