Summary

Posted: Oct 15, 2024

Weekly Hours: 40

Role Number:200573686

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. We at Emerging Technology Solutions Team, are passionate about building bleeding edge solutions operating at Internet Scale. In this role, you will help build global scale security solutions in the space of Anti Phishing/ Spam, Social Engineering Attack Prevention and more. You will work with a passionate team intent on making the Internet safe for everyone and will build full stack solutions that handle outstandingly large volumes of critical data harnessing the power of NoSQL, Machine Learning, Big Data and other Emerging Technologies. If you're excited by the challenge of building the next generation of security solutions and want to make a significant impact in the tech world, we want to hear from you.

• Bachelor's Degree in Computer Science/Computer Engineering or equivalent.
• 7+ years of technical experience designing, building, and maintaining data pipelines and platforms.
• Solid understanding of Machine Learning, Deep Learning (including LLMs) and Natural Language Processing.
• Hands-on experience working (training, fine-tuning, optimizing, deploying) with ML models.
• Good understanding of various distributed system concepts.
• Knowledge in Relational and NoSQL Databases, Object Oriented Analysis and Design, and Microservices.

• Experience developing AI/ML systems at scale in production or in high-impact research environments.
• Experience with LLM training/fine-tuning.
• Experience with vector stores, ranking and retrieval techniques is a plus.
• Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency.
• Dedicated and self-motivated.
• Innovative, thinks out of the box, and have a strong drive for excellence.
• Good interpersonal skills. Have good oral/written communication skills.
• M.S or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent experience.

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 $312,200, 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.

• 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.