What are the responsibilities and job description for the Software Engineer - Large Language Models & Generative AI position at Apple?
Summary
Posted:
Role Number:200588621
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re an applied Machine Learning team within Intelligence Platform that leverages state of the art technologies like generative AI, Retrieval-Augmented Generation, and private learning to deliver high quality products! We are in search of an accomplished and driven Software Engineer who can help us build systems that leverage Large Language Models and Generative AI. Your primary role will involve building software components that run on-device and on the server to enable us to develop, deploy and run inference on our models. Additionally, you will focus on automating and testing our data pipelines, ensuring data quality, generating reports based on data quality metrics, and creating pipelines to automate data quality and sanitization processes. By contributing to our team, you’ll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms!
Description
As a Software Engineer on the Intelligence Platform team, you’ll join a dedicated group of engineers and researchers with diverse responsibilities. You will develop and maintain software systems essential for deploying and operating Large Language Models and Generative AI, building robust, scalable, and efficient solutions that integrate AI models into our platforms. Your role involves automating and testing data pipelines to ensure seamless data flow and processing, implementing testing frameworks to validate the functionality and performance of AI-driven components. Additionally, you will create and maintain pipelines for automating data quality checks and sanitization processes, monitor and assess data quality to identify and resolve issues, and generate comprehensive reports based on data quality metrics to inform decision-making and process improvements. You will also develop dashboards and visualization tools to present data insights effectively. Collaborating closely with machine learning engineers, you will integrate AI models into scalable and efficient software solutions and contribute to all phases of the software development lifecycle, from requirement analysis to design, coding, testing, deployment, and support. Furthermore, you will optimize existing software systems for performance, scalability, and reliability, enhance pipeline efficiency to support rapid deployment and iteration of AI models, and engage with cross-functional teams to understand user needs and deliver features that enhance user experiences.
Minimum Qualifications
- Strong proficiency in programming languages such as Python, SWIFT, or C , and experience with scripting languages like JavaScript or Perl.
- Understanding of data structures, algorithms, and software design principles.
- Demonstrated experience in building and maintaining large-scale software systems, with a keen eye for scalability, efficiency, and robustness.
- Familiarity with Machine Learning concepts and frameworks, particularly with the integration of ML models into software systems.
- Proven ability to work in a fast-paced and collaborative team environment, displaying strong problem-solving skills and a results-driven attitude.
Key Qualifications
Preferred Qualifications
- Experience with cloud computing platforms like AWS, Azure, or GCP, and knowledge of deploying software in cloud environments.
- Solid understanding of software development best practices, including version control (Git), continuous integration (CI), and testing methodologies.
- Experience in automating and testing data pipelines to ensure data integrity and system reliability.
- Proficiency in creating and maintaining data pipelines for data quality checks and sanitization processes.
- Experience in generating reports based on data quality metrics and developing dashboards or visualization tools.
- Continuous learning and development in software engineering and related technologies are encouraged.
Education & 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 $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.
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.
Salary : $143,100 - $264,200
