Data Scientist providing data - driven insights to inform business strategy at Mixpanel. Collaborating with leadership to shape research initiatives and drive positive organizational change.
About the role
- Senior AI/ML Platform Architect for Instructure building AWS-native infrastructure for AI/ML services, translating needs into scalable architecture.
Responsibilities
- Design and build the AWS-native production infrastructure for AI/ML services, including deployment, observability, reliability, and operational readiness.
- Partner with ML, data science, and applied AI teams to understand their workflows and translate prototype needs into scalable architecture.
- Create reusable infrastructure patterns, service templates, CI/CD pipelines, and deployment workflows for AI/ML workloads.
- Architect systems for model serving, batch inference, retrieval pipelines, evaluation workflows, and AI service deployment.
- Define production standards for monitoring, alerting, rollback, logging, versioning, and reliability of AI/ML systems.
- Collaborate with platform and backend engineering teams to ensure AI/ML infrastructure aligns with broader company architecture and security standards.
Requirements
- Strong experience designing and operating production systems on AWS.
- Deep understanding of distributed systems, cloud architecture, scalability, reliability, and service design.
- Hands-on experience with infrastructure-as-code, CI/CD, Docker, Kubernetes, and production deployment workflows.
- Experience building or supporting production ML, AI, data, or high-scale backend systems.
- Strong system design skills, including the ability to reason about tradeoffs, failure modes, data flow, service boundaries, and operational complexity.
- Ability to communicate clearly across data science, ML engineering, backend engineering, platform engineering, product, and leadership stakeholders.
Benefits
- Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
- Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
- Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
- Comprehensive wellness programs and mental health support
- Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
- The technology and tools you need to do your best work
- Motivosity employee recognition program
- A culture rooted in inclusivity, support, and meaningful connection
Job title
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