Apple
AIML- Software Development Engineer, Machine Learning Platform & Infrastructure
Apple, Seattle, Washington, us, 98127
AIML- Software Development Engineer, Machine Learning Platform & Infrastructure
Seattle, Washington, United States
Machine Learning and AI
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something! 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 focusing 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 backend infrastructure in a multi-cloud environment. This engineer will be able to identify and solve scaling issues for a variety of AIML focused 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 the following daily duties:
Ensure user queries or tickets are responded to in a timely manner.
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 across teams, driving the understanding of problems and the best practices of solutions.
Minimum Qualifications
Ability to analyze problems in depth, determine 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 of experience in software development for compute infrastructure or its operational stack, commensurate with operating cutting-edge hybrid cloud platforms.
Key Qualifications
Knowledge of ML, including LLM, as well as experience in developing real, large-scale ML jobs.
Knowledge of analytics methods and pipelines, able to utilize it for visualization of platform KPIs.
Experience in 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 decisions on what should be visible according to actual needs to solve specific problems.
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.
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.
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Seattle, Washington, United States
Machine Learning and AI
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something! 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 focusing 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 backend infrastructure in a multi-cloud environment. This engineer will be able to identify and solve scaling issues for a variety of AIML focused 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 the following daily duties:
Ensure user queries or tickets are responded to in a timely manner.
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 across teams, driving the understanding of problems and the best practices of solutions.
Minimum Qualifications
Ability to analyze problems in depth, determine 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 of experience in software development for compute infrastructure or its operational stack, commensurate with operating cutting-edge hybrid cloud platforms.
Key Qualifications
Knowledge of ML, including LLM, as well as experience in developing real, large-scale ML jobs.
Knowledge of analytics methods and pipelines, able to utilize it for visualization of platform KPIs.
Experience in 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 decisions on what should be visible according to actual needs to solve specific problems.
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.
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.
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