AIML- Software Development Engineer, Machine Learning Platform & Infrastructure
Apple
Full-time
On-site
Seattle, Washington, United States
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The AI/ML Production Engineering team is looking for an exceptional Software Development Engineer with experience in Machine Learning (ML) infrastructure services and applications. This engineer will work with global teams focussing on projects for ML compute Platforms and model lifecycles. This engineer will be a qualified technical leader with a consistent track record who is able to identify and interpret problems from frontend of customer support, to back end infrastructure in a multi-cloud environment. This engineer will be able to identify and solve scaling issues for a variety of AIML focussed services. This individual will have the opportunity to design and to build architectural solutions through cross-organizational collaboration, accurately addressing requirements, and solving complex problems. This role has high impact and is critical to creating the highest quality user experience that Apple internal and external customers expect and love!
The AI/ML Production Engineering team is looking for an exceptional Software Development Engineer with experience in Machine Learning (ML) infrastructure services and applications. This engineer will work with global teams focussing on projects for ML compute Platforms and model lifecycles. This engineer will be a qualified technical leader with a consistent track record who is able to identify and interpret problems from frontend of customer support, to back end infrastructure in a multi-cloud environment. This engineer will be able to identify and solve scaling issues for a variety of AIML focussed services. This individual will have the opportunity to design and to build architectural solutions through cross-organizational collaboration, accurately addressing requirements, and solving complex problems. This role has high impact and is critical to creating the highest quality user experience that Apple internal and external customers expect and love!
Description
This Software Development Engineer role will encompass the entire lifecycle of ML platform reliability engineering. The engineer will address user queries or tickets, triage and mitigate issues, converting diagnosis processes and solutions from ad hoc to systematic, reactive to proactive, and manual to automatic. They will visualize ML platform scalability and stability, assessing their impact on development velocity and resource utilization. Based on the actual impact, they will prioritize engineering efforts across teams, enhancing the system’s key performance indicators.
This role will undertake following daily duties:
* Ensure user queries or tickets to be responded in time
* Evaluate current visibility for state and performance of the system
* Define and monitor system key performance indices
* Design and implement operational tools
* As a technical leader, motivate and communicate cross-teams, drive the understanding of problems and the best practice of solutions
This role will undertake following daily duties:
* Ensure user queries or tickets to be responded in time
* Evaluate current visibility for state and performance of the system
* Define and monitor system key performance indices
* Design and implement operational tools
* As a technical leader, motivate and communicate cross-teams, drive the understanding of problems and the best practice of solutions
Minimum Qualifications
- Ability of analyzing problems in depth, determining root cause, articulate clearly and propose solutions
- Solid understanding of system architecture and large-scale ML service and computational platform operations
- Proficiency in coding with scripting and programming languages, including but not limited to - Bash, Python, Golang
- Knowledge of ML training and production workflows, understanding dependencies among architectural building blocks
- 7+ years experience of software development for compute infra or its operational stack, commensurate with operating cutting-edge hybrid cloud platforms
Key Qualifications
Preferred Qualifications
- Knowledge of ML, including LLM, as well as experience in developing real, large scale ML job
- Knowledge of analytics method and pipelines, able to utilize it for visualization of platform KPIs
- Experience of designing and implementing systems to support ML applications
- Experience in large-scale service and job deployment, using an orchestration framework (Kubernetes) and cloud services for large-scale projects
- Experience in observability of system behaviors, having made decision what should be visible according to actual needs to solve specific problem
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 $166,600 and $296,300, 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.
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.