Architect, build, and deploy production ML/AI systems that power customer-facing product capabilities
Design and operate scalable inference services, APIs, and backend components for model-driven applications
Build and improve data, feature, deployment, and orchestration pipelines on AWS across development, staging, and production environments
Productionize AI workflows with strong MLOps practices, including CI/CD, versioning, testing, monitoring, rollback, and operational reliability
Define and implement evaluation frameworks for model quality, system reliability, latency, and cost, and use those signals to improve production performance
Partner with product, research, and engineering teams to turn prototypes into robust, scalable services, while driving strong engineering standards in code quality, documentation, observability, and incident readiness

6+ years of experience in software engineering, machine learning engineering, applied AI engineering, or a closely related role with production ownership
Demonstrated experience taking ML/AI systems from prototype to production in live environments
Strong experience with deployment pipelines, CI/CD, orchestration, and operating production services on AWS
Experience building and operating APIs/services (Python preferred), working with containers, and debugging reliability/performance issues
Working knowledge of modern AI application patterns (for example, embeddings, retrieval, semantic search, or RAG) and the engineering constraints involved in running them in production
Strong communication skills and the ability to work through ambiguity across engineering, product, and research teams

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

Senior Data Scientist, Applied AI

Key skills