Generative AI Applied Scientist, Enterprise Systems
Apple, Inc. | |
United States, Washington, Seattle | |
April 26, 2024 | |
Summary
Posted: Apr 23, 2024 Weekly Hours: 40 Role Number: 200548459 We are seeking a highly skilled and motivated Applied ML Scientist with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for developing innovative and practical AI applications that drive enterprise transformation. Your work will have a direct impact on optimizing operations, enhancing productivity, and fostering innovation within our organization. The Applied Machine Learning Data Science team in IS&T are a group of passionate applied ML scientists from various disciplines with extensive track records in both academia and industry. We work on many high impact projects that serve various Apple lines of business. We are at the forefront of using sophisticated machine learning techniques and mathematical models to tackle impactful business problems. We continuously innovate and are constantly pushing the envelope. The Applied Machine Learning Data Science team is an outstanding combination of machine learning techniques, algorithms, as well as real world business solutions that will impact billions of devices in the world. Join us and you will have the opportunity to do groundbreaking applied machine learning work that will craft the industry. Key Qualifications
Description As an AML applied ML scientist, you will engage with Business Teams: Collaborate closely with business teams to identify opportunities, gain a deep understanding of their requirements, and effectively translate these requirements into innovative technical solutions. Designing Generative AI Solutions: Lead the design and development of generative AI solutions. Utilize established techniques and, when necessary, create custom algorithms to tackle complex challenges effectively. Collaborating with Cross-Functional Teams: Work closely with our team of engineers and platform architects to seamlessly integrate and deploy robust, enterprise-grade ML applications and systems that meet our business objectives. Continuous Research and Innovation: Stay at the forefront of data science and machine learning advancements. Continuously explore and evaluate new technologies and methodologies to enhance the technical capabilities of our team, ensuring that we remain at the cutting edge of ML innovation. Education & Experience M.S. or PhD in Electrical Engineering/Computer Science, or a related field (mathematics, physics, statistics or computer engineering) preferred. Additional Requirements Pay & Benefits
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. |