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ROLE OVERVIEW
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Role: Lead the design and development of full stack AI lifecycle platforms that enable machine learning engineers to build, deploy, monitor, and scale ML workflows across intelligent vehicle systems.
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APPLY
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COMPENSATION & WORK DETAILS
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Salary: $218,800-$335,300
Pay Type: Annual salary + incentive bonus
Work Type: Full-Time
Location: [US Only]
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KEY TASKS
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Key Tasks: Build UX platforms and agentic workflows for ML lifecycle, develop backend integrations across ML systems, design scalable and secure enterprise architecture, improve observability and operational excellence, establish performance metrics and reliability standards, implement CI/CD pipelines, collaborate with ML engineers and cross-functional teams, review technical designs and pull requests, mentor engineers and support recruiting
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QUALIFICATIONS
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Qualifications: 7+ years software engineering experience, experience building high-availability services, enterprise and systems architecture expertise, proficiency in Python Java or Go, frontend development with React or Angular, strong JavaScript or TypeScript knowledge, cloud infrastructure and CI/CD experience, experience leading large technical initiatives, BS MS or PhD in Computer Science or related field
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TOOLS & CLIENT
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Tools: Python, Java, Go, React, Angular, JavaScript, TypeScript, CI/CD pipelines, Cloud infrastructure, GraphQL, JSON
Client Type: Automotive technology and AI engineering teams
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ROLE TAGS
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Category: [Engineering]
Sub-Category: [Machine Learning] [Full Stack Development] [Cloud Infrastructure]
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