Summary
Posted: Sep 11, 2024
Role Number:200567308
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help build AI-driven solutions that solve pressing business challenges. You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices.
We are looking for an individual who is passionate about joining Apple’s engineering team as an NLP Solutions Software Engineer to enable building generative AI applications for our domains.
Description
Description
In this highly visible role, your primary responsibilities will include:
- Developing LLM components for use in generative AI applications.
- Collaborating with our internal multi-functional design teams as well as the AIML organization at Apple to understand domain-specific needs and tailor AI solutions to these domains.
- Serving as the point of contact for customers, resolving technical issues, and providing insights on LLM infrastructure improvements.
- Enabling the organization to leverage data and drive efficiency in chip delivery.
Minimum Qualifications
Minimum Qualifications
• Python programming experience
• Hands-on-experience in NLP and Data Science principles (ie. Indexing knowledge, pre-processing data, or fine-tuning models)
• Knowledge of current Gen AI research in one of the following areas: RAG, Semantic Search, Agents, or Prompt Engineering
• Minimum requirement of BS and 3+ years of relevant industry experience
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
• Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Milvus, Qdrant), or similarity match & ranking techniques.
• Proficiency in articulating technical and architectural challenges in a precise manner.
• Experience collaborating with partners to develop and iterate on solutions.
• Designed and optimized RESTful services.
• Comfort within Linux/Unix environments.
• Understanding of software engineering practices (agile, code review, automated builds, regressions testing).
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
Pay & Benefits
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 $143,100 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.
Location: Cupertino, CA
Posted: Oct. 22, 2024, 10:40 p.m.
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