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Apple Machine Learning Operations Engineer United States, California, Cupertino 277205064
02.05.2024
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Key Qualifications
- 5+ years of machine learning industry experience
- Strong coding skills and experience with data structures and algorithms such as LLM, NLP, etc...
- Experience designing and building scalable distributed services
- Strong proficiency with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Experience with version control systems (e.g., Git) and infrastructure as code (e.g., Terraform, Ansible).
- Experience with machine learning algorithms and tools
- Experience with security practices in machine learning
- Experience with data management and processing pipelines
- Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
- Excellent scripting and programming skills (Python, Shell)
- Strong problem-solving and troubleshooting skills
- Excellent interpersonal skills able to work independently as well as in a team
Description
Your responsibilities will include:Infrastructure Design and Deployment:* Architect and maintain scalable, reliable, and efficient infrastructure for deploying and running machine learning models in production environments.* Collaborate with DevOps and IT teams to ensure the smooth integration of ML systems with existing infrastructure.Automation and CI/CD:* Develop and implement automated processes for deploying, monitoring, and scaling machine learning models.* Work closely with data scientists and software engineers to establish and maintain continuous integration and continuous deployment (CI/CD) pipelines for machine learning workflows.Monitoring and Performance Optimization:* Implement robust monitoring solutions to track the performance of deployed models, infrastructure and overall system health.* Proactively identify and address issues related to model drift, data quality, and system reliability.* Collaborate with cross-functional teams, including program managers, data scientists, software developers, domain experts, and other stakeholders to facilitate the deployment and operationalization of machine learning models.* Clearly communicate technical concepts to non-technical team members and stakeholders.Security and Compliance:* Implement security best practices for machine learning systems, ensuring the protection of sensitive data.* Ensure compliance with relevant regulations and industry standards.Documentation and Knowledge Sharing:* Create and maintain comprehensive documentation for deployment processes, system architecture, and best practices* Facilitate knowledge sharing across teams to enhance the overall understanding of machine learning operations.
Education & Experience
MS or PhD in Computer Science or relevant field
Additional Requirements
- Certification in cloud platforms (AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, etc.) preferred
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 $170,700.00 and $256,500.00, 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.
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