AIML - Sr. Software Engineer - AIML Observability

Company:  Apple
Location: Cupertino
Closing Date: 05/12/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

AIML - Sr. Software Engineer - AIML Observability

Cupertino, California, United States

Machine Learning and AI

Are you a passionate software engineer looking to design and build cloud-native solutions at Apple-scale for Siri, Search and other AIML products? We're inventing the future of smart observability systems that leverage cloud-first engineering, machine learning and open source. Our solutions will help billions of users enjoy the smartest and best user experiences on their favorite Apple devices. We are looking for a cloud-tested engineering leader who will bring their passion for infrastructure and distributed systems to build our world-class cloud-native observability platforms and services. Join our team!

Description

Our observability solutions employ a variety of systems and services. We use existing and open-source systems when possible, but do not shy away from building new solutions ourselves. In this role, you will collaborate with a team of engineers to lead the design and development of observability solutions for AIML products and infrastructure. You will be responsible for providing technical guidance, sharing observability know-how, leveraging AI pipelines and mentoring the team to develop and deliver best-of-class solutions.

Minimum Qualifications

Key Qualifications

  1. 5+ years engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and microservices
  2. Strong coding skills in Go, Java, C/C++ or Rust
  3. Demonstrated proficiency in AWS services such as EKS / Kubernetes, Amazon S3, networking, database and monitoring services
  4. Proven experience in delivering very large-scale cloud-native distributed systems and platform infrastructure
  5. Excellent communication skills both oral and written
  6. Excellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators
  7. Bonus if you have experience with:
  8. Cloud infrastructure service provider, or an extensive “private cloud” environment
  9. Time-series based observability systems, distributed tracing, logging and profiling at scale and telemetry data collection frameworks
  10. Large-scale alert management and notification systems
  11. Machine learning and NLP algorithms, LLMs, AIOps
  12. Active open source project contributions

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 $175,800 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.

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.

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