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Apple Machine Learning Ops Engineer MSO United States, California, Cupertino 400021385
01.06.2024
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Description
- Experience building highly available and fault tolerant systems- Experience with software development tools on Linux - Understands and can implement the lifecycle of ML development - Experience with ML Experimentation tools and workflows- Proven track record of shipping services in production environments for consumer facing products- Experience managing performance, application and security log management- Strong coding experience and capable of picking up new languages- Strong analytical thinking to solve challenging problems- Excellent problem solving and analytical thinking skills
Key Qualifications
- 5+ years experience designing and implementing modular, composable services, using state-of-the-art technology stacks
- 1+ years of experience Collecting and Analyzing ML performance metrics
- 2+ years working on highly available, high-volume, low latency services at scale
- 2+ years working in AWS w/ container services (preferred experience in k8s).
- Preferred Experience Airflow in AWS
- Preferred Experience in Go, Java or Kotlin
Education & Experience
BS, MS, or PhD in Computer Science, or equivalent experience
Additional Requirements
- - Experience handling Pen Testing and Secure Applications is a plus
- - Works well in and across teams
- - Works well in a self directed environment
- - Comfortable with weekly on-call rotation
- - Reliable and responsive to support the team’s needs
- - Nice to have experience handling Pen Testing and Secure Applications
- - This is a site-based role
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 $170,700 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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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