Job Details

Role Number: 200647579-3337

Summary

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Seattle, Washington. Develop software to run innovative machine learning systems in the cloud. Implement performant ML based algorithms in a distributed system and keep up to date with best practices and new technologies. Work closely with ML engineers to ensure their algorithms can be deployed efficiently in the cloud. Build software to support batch inferences for new large language models. Analyze and improve the job success rates for batch inference jobs. Optimize efficiency of the pipeline to improve throughput for large scale inference solutions. Build a scalable and efficient system to improve utilization of high-performance GPU fleet. 40 hours/week. 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 $139,500 - $210,100/yr and your base pay will depend on your skills, qualifications, experience, and location.

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: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Software Engineering, Computer Science, or related field and 2 years of experience in the job offered or related occupation.

• 2 years of experience with each of the following skills is required:

• Applying Golang to design and develop large language model batch inference service codebase.

• Utilizing docker containerization and Kubernetes orchestration including AWS EKS or GCP to run batch inference service on the cloud infrastructure.

• Ensuring performance, scalability, security and maintainability when designing robust, large scale batch inference service.

• Utilizing ML Framework including PyTorch or TensorFlow to develop and optimize large language models.

• Applying foundation model architectures including Transformers, Encoder/Decoder to train, and fine-tune large language models.

• Utilizing MapReduce to develop efficient large scale data pipelines.

• Applying MLOps best practice to automate model deployment, monitoring, and continuous integration / continuous delivery.

• Utilizing hardware accelerators including GPUs or TPUs to maximize computational efficiency and reduce inference time.

Preferred Qualifications

• N/A

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .