Overview
On Site
USD 166,600.00 - 296,300.00 per year
Full Time
Skills
Debugging
Statistical models
Software development
Data
Regression analysis
iOS development
Partnership
Testing
User experience
Shipping
Communication
IT management
Machine Learning (ML)
Roadmaps
Onboarding
Mentorship
Leadership
IMPACT
Problem solving
Management
Payments
Job Details
Summary
The AIML Performance & Reliability team is looking for a Senior Machine Learning engineer with proven record of building scalable statistical systems for business applications in a fast-paced environment to be the lead developer and architect on the Tools team.As a Senior ML engineer on the AIML Performance & Reliability Tools team, you will have significant influence and responsibility in improving Siri performance and user experience by building a trustworthy and explainable anomaly detection system to automatically identify regressions in Siri performance and alert engineering teams with actionable insights for debugging performance issues. You will be responsible for creating the technical vision for a trustworthy anomaly detection platform by understanding the user requirements, shortcomings of existing approaches, and identifying rigorous statistical methodology scalable for automation. If you're interested, you are someone laser focused on iteratively delivering impact to customers with excellent statistical modeling, programming, problem solving and communication skills, and a passion to build data tools for cross functional customers. By building a trustworthy anomaly regression detection platform, your work will directly impact shipping high performant Siri across various platforms including iOS, VisionPro, WatchOS etc.As a Senior ML engineer on the AIML Performance & Reliability Tools team you will have the opportunity to make broad impact across all Apple platforms in close partnership with Engineering feature and product teams, Testing teams and Quality teams. Your work directly improves Siri's user experience in the hands of billions of Apple consumers.
Description
We are looking for a Senior ML Engineer who will set the technical vision for Siri's automated anomaly detection platform for detecting performance and reliability regressions. You are someone who is passionate about shipping quality code and continually improving our anomaly detection systems. You will be responsible for defining, developing and delivering key features for high quality alerting to enable teams to troubleshoot regressions rapidly.You are someone who works extremely well across teams and organizations and demonstrates strong communication and technical leadership skills and the ability to engage with colleagues and leadership to find common ground on solving hard problems. . You are someone who shares technical vision to leadership and engineering teams, gathers feature requirements, defines technical roadmaps and executes efficiently.You will be responsible for technically representing the Tools team and communicating progress on key deliverables across the organization from peer groups to senior leadership. As the Senior ML engineer on the team, you will be responsible for owning the technical roadmap for the team, onboarding and mentoring team members, and leading the team to deliver high-impact outcomes.You are someone comfortable executing in a rapidly changing environment with ambiguous requirements to drive impact incrementally. You demonstrate strong problem solving skills and are self-directed with a proven ability to execute. You continually desire learning and demonstrate attention to details and find opportunities to innovate and share knowledge with others.
Pay & Benefits
The AIML Performance & Reliability team is looking for a Senior Machine Learning engineer with proven record of building scalable statistical systems for business applications in a fast-paced environment to be the lead developer and architect on the Tools team.As a Senior ML engineer on the AIML Performance & Reliability Tools team, you will have significant influence and responsibility in improving Siri performance and user experience by building a trustworthy and explainable anomaly detection system to automatically identify regressions in Siri performance and alert engineering teams with actionable insights for debugging performance issues. You will be responsible for creating the technical vision for a trustworthy anomaly detection platform by understanding the user requirements, shortcomings of existing approaches, and identifying rigorous statistical methodology scalable for automation. If you're interested, you are someone laser focused on iteratively delivering impact to customers with excellent statistical modeling, programming, problem solving and communication skills, and a passion to build data tools for cross functional customers. By building a trustworthy anomaly regression detection platform, your work will directly impact shipping high performant Siri across various platforms including iOS, VisionPro, WatchOS etc.As a Senior ML engineer on the AIML Performance & Reliability Tools team you will have the opportunity to make broad impact across all Apple platforms in close partnership with Engineering feature and product teams, Testing teams and Quality teams. Your work directly improves Siri's user experience in the hands of billions of Apple consumers.
Description
We are looking for a Senior ML Engineer who will set the technical vision for Siri's automated anomaly detection platform for detecting performance and reliability regressions. You are someone who is passionate about shipping quality code and continually improving our anomaly detection systems. You will be responsible for defining, developing and delivering key features for high quality alerting to enable teams to troubleshoot regressions rapidly.You are someone who works extremely well across teams and organizations and demonstrates strong communication and technical leadership skills and the ability to engage with colleagues and leadership to find common ground on solving hard problems. . You are someone who shares technical vision to leadership and engineering teams, gathers feature requirements, defines technical roadmaps and executes efficiently.You will be responsible for technically representing the Tools team and communicating progress on key deliverables across the organization from peer groups to senior leadership. As the Senior ML engineer on the team, you will be responsible for owning the technical roadmap for the team, onboarding and mentoring team members, and leading the team to deliver high-impact outcomes.You are someone comfortable executing in a rapidly changing environment with ambiguous requirements to drive impact incrementally. You demonstrate strong problem solving skills and are self-directed with a proven ability to execute. You continually desire learning and demonstrate attention to details and find opportunities to innovate and share knowledge with others.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.