Senior ML Infrastructure Engineer - VE Algorithms
29 days ago San Diego, CA
About us
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- Size: 10,000+ employees
- Industry: Technology: Manufacturing
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Are you passionate about groundbreaking modeling technologies to enrich billions of people? We are the Video Engineering (VE) team at Apple developing cutting-edge video and machine learning algorithms to build the photo and video features that Apple devices are well known for. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure.
Description
In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware.","responsibilities":"Optimize and profile training pipelines for large-scale visual pre-training across diffusion and auto-regressive architectures.
Design and implement workload scheduling strategies for distributed training across clusters of thousands of GPUs.
Profile and optimize across the full compilation stack - from high level graph capture through intermediate representations down to target HW.
Build and maintain experimentation tooling, dashboards, and scalable CI/CD pipelines tailored to multi-GPU training workflows.
Preferred Qualifications
Strong Machine Learning fundamentals.
Experience working with large cross-functional and diverse teams.
Minimum Qualifications
BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.
Experience in training and adapting LLMs.
Advanced fluency in PyTorch.
Excellent programming skills in Python or C++ and experience contributing software to large projects.
Experience with distributed training of large models.
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 $142,300 and $263,300, 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.
Description
In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware.","responsibilities":"Optimize and profile training pipelines for large-scale visual pre-training across diffusion and auto-regressive architectures.
Design and implement workload scheduling strategies for distributed training across clusters of thousands of GPUs.
Profile and optimize across the full compilation stack - from high level graph capture through intermediate representations down to target HW.
Build and maintain experimentation tooling, dashboards, and scalable CI/CD pipelines tailored to multi-GPU training workflows.
Preferred Qualifications
Strong Machine Learning fundamentals.
Experience working with large cross-functional and diverse teams.
Minimum Qualifications
BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.
Experience in training and adapting LLMs.
Advanced fluency in PyTorch.
Excellent programming skills in Python or C++ and experience contributing software to large projects.
Experience with distributed training of large models.
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 $142,300 and $263,300, 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.
Additional Information
- Salary: $142,300 – $263,300
- Posted: 29 days ago