We are looking for a Senior ML Engineer who will set the technical vision for Siris 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 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.
Graduate degree specializing in the areas of Applied Statistics Machine Learning Time Series Analysis or related field
Masters degree plus at least 6 years of industry experience in statistical machine learning or PhD degree with at least 3 years industry experience applying statistical modeling for business problems.
3 years experience building systems based on rigorous statistical or ML methodology such as anomaly detection using time series analysis at production scale.
3 years coding experience in programming languages such as Python Java or Scala
Proven record of being customer and impact focused ability to set the technical vision for long term projects and delivering results iteratively
Ability to effectively communicate complex concepts and empower others to leverage self service tools for data analysis and deep-dives
Innovative problem solving ability with excellent analytical skills and critical thinking
Leadership experience including being a technical lead for complex development projects demonstrating good technical judgement and prioritization skills.
Demonstrated ability to work in a complex cross functional environment ability to influence at all levels and build strong relationships to deliver impact.
Prior experience building and owning anomaly detection frameworks for business metrics for different engineering stakeholders.
Proven record of delivering analytics tools end to end from identifying customer requirements to quickly building prototypes to building scalable analytics tools to enable customers.
Previous experience in improving system performance and troubleshooting performance bottlenecks.
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 $171600 and $302200 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
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