Machine Learning Ops Engineer (MSO)
at Apple
Cupertino, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 14 Oct, 2024 | USD 256500 Annual | 14 Jul, 2024 | 1 year(s) or above | Teams,Go,Aws,Computer Science,Java,Performance Metrics,Kotlin | No | No |
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Description:
SUMMARY
Posted: Dec 8, 2023
Weekly Hours: 40
Role Number:200511525
Our ever-evolving suite of Heath and Wellness products for iPhone and Watch are helping our users live more active, healthier lives. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same dedication to innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. AC Wellness Network LLC is a subsidiary of Apple Inc. and is the dedicated management services organization (MSO) for AC Wellness, a dedicated independent medical group that serves Apple Wellness Centers in Santa Clara Valley. Our mission is to deliver the world’s best healthcare experiences for Apple employees. The Health Special Projects MSO team is looking for an extraordinary ML Ops Engineer with a background in large scale engineering projects. You will enjoy building services that Data Science and Application developers will leverage to shape exceptional experiences for our employees and customers.
DESCRIPTION
An ML Ops Engineer would help our Data Science team collect metrics around model performance as well as do rapid experimentation while also supporting some Data Engineering tasks to aid the Data Science team in tracking and analyzing results. You are ready to solve big problems, enjoy working in an agile and dynamic multi-functional team, love data, and want to make a huge impact in health. Some of your characteristics include: - 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 communication and collaboration skills - 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
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:1.0Max:5.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Phd
Proficient
1
Cupertino, CA, USA