Build and modernize large‑scale build, deployment, and change‑management systems for Apple’s cloud services, integrating AI to automate risk assessment, incident triage, and developer support.
Responsibilities
Design and implement scalable backend services for build and deployment pipelines
Modernize legacy tooling and standardize containerized deployment workflows
Develop agentic AI systems for risk assessment and incident triage
Integrate with microservices, messaging systems, and AI/ML frameworks
Collaborate with cross‑functional engineering teams to improve developer experience
Engineer to develop and evaluate machine learning models for Apple Calendar’s intelligence features, working on-device and on-server, from concept to production.
Responsibilities
Drive modeling and evaluation of calendar intelligence features
Design evaluation metrics and baselines
Build and ship production code across Apple platforms
Collaborate with ML teams and product/design
Validate model outputs and iterate
Requirements
Bachelor's degree in Computer Science, EE, Applied Mathematics, or related field
Nice to have: Efficient systems for constrained environments
Nice to have: Latency, memory, and power optimization
Nice to have: Designing evaluation for shipped models
Design, implement, test, and debug the electrical subsystem for Apple’s Mac platform, collaborating with mechanical, software, silicon, and other module teams.
Responsibilities
Design electrical subsystem for Mac Development platform
Implement and test electrical designs
Debug and validate electrical circuits
Coordinate schematic capture and PCB layout
Bring up and validate Apple Silicon implementations
Lead Industrial Engineer responsible for leading an industrial engineering team, driving production operations, and implementing best practices across maritime product lines.
Compensation
$147,000—$196,000 USD
Responsibilities
Own the design and bring up of production lines in the factory
Partner with manufacturing leadership to assess and solve build plan scenarios
Lead initiatives across the site to solve ongoing production issues
Effectively lead a team of Industrial Engineers
Play a key role in the growth of the Industrial Engineering organization
Requirements
Bachelor's degree in Industrial Engineering, Operations Excellence, or a related field
Nice to have: Experience building or transforming successful production operation organizations
Nice to have: Experience leading and managing teams on fast-paced, complex projects
Nice to have: Exposure to defense, aerospace, or automotive industries
Nice to have: Previous experience designing, building out, and commissioning factories (greenfield or brownfield)
Support and continuously improve Amylyx’s enterprise data and analytics ecosystem, ensuring reliable operation of data platforms, integrations, and reporting solutions.
Locations (2)
Cambridge, Massachusetts, United States
United States
Compensation
$138,000—$155,000 USD
Responsibilities
Maintain day-to-day operation of critical data platforms and reporting solutions
Ensure data pipelines, system integrations, and master data processes operate reliably
Troubleshoot and resolve production issues impacting data availability, quality, or performance
Coordinate incident resolution activities with internal teams and external support providers
Establish and maintain operational dashboards, monitoring tools, and service metrics
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or related discipline
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