Audio Machine Learning Co - op developing real - time AI - powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
About the role
- Staff Full Stack Engineer developing AI solutions for General Motors' intelligent driving technologies. Collaborating with machine learning engineers and research scientists to improve workflows.
Responsibilities
- Build UX experiences and agentic workflows to improve MLE workflows and productivity
- Build backend integrations to provide unified experience across ML lifecycle
- Raise the bar on system observability, debuggability, and operational excellence, and user experience
- Own and drive the design and architecture across the ecosystem that meets security and compliance standards
- Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment
- Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations
- Partner with engineering teams to ensure seamless end-to-end flow and data quality
- Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
- Review and approve technical design documents and pull requests
- Improve and enhance engineering systems documentation and development processes
- Identify and pursue new paths of inquiry, innovation and challenge status quo
- Develop and nurture technical talent within the team and recruiting
Requirements
- Experience building, deploying, and operating high-availability services
- Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies
- Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams
- Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices
- Programming experience in Python, Java, Go
- Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions
- Experience building production-level frontend applications using React, Angular or similar frameworks
- Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
- BS, MS, or PhD in Computer Science, Math, Physics, or equivalent experience
- Willingness to travel to Sunnyvale, CA as needed
Benefits
- medical
- dental
- vision
- Health Savings Account
- Flexible Spending Accounts
- retirement savings plan
- sickness and accident benefits
- life insurance
- paid vacation & holidays
- tuition assistance programs
- employee assistance program
- GM vehicle discounts
Job title
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Experience level
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Degree requirement
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Location requirements
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