AIML- Software Development Engineer, Machine Learning Platform & Infrastructure

Key Skills

Aartificial intelligence, Deep Learning, GoLang, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch

Job Description

The AI/ML Production Engineering team seeks an outstanding Software Development Engineer with expertise in Machine Learning (ML) infrastructure, services, and applications. This engineer will collaborate with global teams focused on projects for ML compute platforms and model lifecycles. The engineer will possess a proven track record as a technical leader, adept at identifying and interpreting problems from various fronts, including customer support and backend infrastructure in a multi-cloud environment. The engineer will be responsible for identifying and resolving scaling issues for various AIML-focused services. This individual will have the opportunity to design and build architectural solutions through cross-organizational collaboration, accurately addressing requirements, and solving complex problems. This role carries significant impact and is crucial to delivering the highest quality user experience that Apple’s internal and external customers expect and cherish. This role will encompass the entire lifecycle of ML platform reliability engineering. The engineer will address user queries, triage and mitigate issues, work to improve process, and automate manual tasks. They will address ML platform scalability and stability, assessing impact on development velocity and resource utilization.

This role will undertake the following daily duties:

• Ensure timely response to user queries and tickets
• Evaluate current visibility for state and performance of the system
• Define and monitor system key performance indicators
• Design and implement operational tools
• As a technical leader drive communication and results

Minimum Qualifications

• Ability to analyze problems in depth, determine root causes, articulate ideas clearly, and propose solutions
• Solid understanding of distributed system architecture, large-scale ML services and computational platform operations
• Proficiency in coding with scripting and programming languages, including but not limited to Bash, Python, and Golang
• Knowledge of ML training and production workflows
• Ability to identify and define dependencies
• 3+ years of experience in software development for compute infrastructure or its operational stack operating in an environment of hybrid/multi cloud platforms

Preferred Qualifications

• Knowledge of ML, including LLMs
• Knowledge of analytics methods and pipelines, capable of utilizing it for visualization of platform KPIs
• Experience of designing and implementing systems to support ML applications
• Proven experience in orchestrating large-scale services and job deployments utilizing Kubernetes and cloud services for complex projects.
• Expertise in system observability

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.