Summary
Posted: Apr 25, 2024
Weekly Hours: 40
Role Number:200541160
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. GenAI team is looking for an extraordinary Solutions Engineer to join our team. You will help design and implement our Enterprise GenAI strategy to take our Enterprise platforms to the next level. We will be collaborating and working with multi- functional teams and applying solutions to large-scale data and business use cases.
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Key Qualifications
- 5+ years of industry experience being hands-on in application development in at least one prominent programming language: Java, Python or Go.
- 2+ years of experience building applications using AI development services on prominent cloud platforms such as AWS Sagemaker, Google Vertex AI
- 1+ years of experience working with Generative AI development, embeddings, fine tuning of Generative AI models
- Experienced with Machine Learning frameworks such as TensorFlow or PyTorch
- Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
Description
Assess and evaluate existing Generative AI models, identifying strengths, weaknesses, and areas for improvement. Lead the development of GenAI POCs to demonstrate feasibility, potential business impact and cost ROI. Build tools to help bootstrap internal teams leverage GenAI into their products. Work closely with business stakeholders to understand their requirements and translate them into architectural solutions. Provide expert guidance on GenAI architectures, engineering best practices and data governance/privacy ensuring solutions are scalable, flexible and aligned with organizational goals Stay abreast of the latest advancements in AI technologies, finding opportunities for innovation and improvement. Evaluate emerging tools, frameworks and methodologies to enhance architecture and development processes.
Education & Experience
BS in data science or comp science; Masters preferred or equivalent industry experience
Additional Requirements
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 $170,700.00 and $300,200.00, 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.