Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people!
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Description
You will participate in engineering design discussions and will be responsible for the end user experience. Your role focuses on automating and optimizing processes across the software development lifecycle to improve collaboration, deployment frequency, and system reliability for /ML Evaluations Platform. You will need to be comfortable working both collaboratively and independently in a rapidly changing environment with ever-changing priorities. We are passionate about user experience and crafting best in class products. That passion extends to the applications that our team is responsible for, and you will be expected to ensure that our applications serve our users in the best possible manner.
Minimum Qualifications
- Have 10+ years of relevant industry experience, 3+ years leading large scale, complex projects or teams as an dev ops / Infrastructure engineer or tech lead
- Extensive experience with CI/CD Pipeline Management: Design, implement, and maintain CI/CD pipelines to automate testing, integration, and deployment of code.
- Strong experience in Cloud Infrastructure Management, i.e. managing and optimizing cloud services such as AWS, GCP, etc
- Strong proficiency in at least one programming language (e.g., Python, Go, Java)
- Strong experience in Cloud Infrastructure Management such as manage and optimize cloud services such as AWS
- Extensive experience in Containerization and Orchestration using Docker or Kubernetes to containerize applications and orchestrate their deployment across environments
- Candidate should have good understanding of System Reliability and Performance ie able to design and implement systems for high availability, disaster recovery, and fault tolerance.
Preferred Qualifications
- Good exposure to setting up monitoring and logging with tools such as Splunk, Prometheus, Grafana, Nagios to track application performance, server health, and uptime.
- Strong problem-solving skills and ability to work independently
- Have a passion for supporting internal partners like research/ML modeling to understand their needs
- Have excellent communication skills to build consensus with stakeholders, both internally and externally
- Are obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
- Have experience developing systems using rolling, zero-downtime deploys
- Candidate should possess strong networking fundamentals and demonstrate proficiency in debugging network related issues
- Experience managing, deploying and optimizing Pub/Sub (Publish-Subscribe) systems, queuing systems, and streaming platforms (such as Apache Kafka, Amazon Kinesis, Apache Flink, etc.)
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 $143,100 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.
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. Learn more about your EEO rights as an applicant.
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