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Join Weights & Biases as an AI Customer Support Engineer - Tier I and become a vital part of our mission to empower AI developers worldwide. As the first line of support in the APAC region, you will engage with users, address their technical queries, and help shape our platform by relaying valuable feedback to our engineering and product teams. This fully remote role offers the opportunity to collaborate in a fast-moving, inclusive environment while building your programming and machine learning expertise.
Weights & Biases is a leading provider of tools for AI and ML practitioners, serving over 1,000 organizations globally. We pride ourselves on delivering exceptional customer support and fostering a culture where user feedback drives product innovation. As an AI Customer Support Engineer, you will interact with a diverse customer base, ensure timely responses to technical inquiries, and contribute to continuous process improvements.
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Develop state-of-the-art voice cloning solutions
Implement efficient text-to-speech systems
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Serve as the primary security representative in customer engagements
Articulate security architecture, controls, and risk management approach
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers to shape product decisions
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Lead design, development, and optimization of Java backend services for AI Platform
Architect and integrate core data systems with high-performance requirements
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Analyze threat actor behavior and abuse patterns
Implement state-of-the-art techniques for abuse detection
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Deliver features independently with defined scope
Write well-tested, maintainable code
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Lead multiple engineering teams in Business Systems
Define strategy and roadmap with product, operations, and technology leaders
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Analyze threat actor behavior and abuse patterns.
Implement advanced techniques for abuse detection and prevention.
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Serve as the primary security representative in customer and prospect engagements.
Articulate security architecture, threat model, controls, and risk management approach.
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers
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Work with telemetry and geospatial data sets
Collaborate with engineers on geospatial data needs
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Provide technical leadership for adopting Databricks.
Consult on big data architecture and POCs for projects.
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Lead pre-sales technical strategy for strategic accounts
Advise on customer value and alignment with Docker
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Lead and mentor a high-performing team
Own the AIOps vision, strategy, and roadmap
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Develop and maintain ML systems for health feature analysis
Collaborate with Data Engineers to enhance ML data pipelines
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Take ownership of assigned problems and drive to completion
Participate in all SDLC phases
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Design, implement, and optimize backend and infrastructure
Collaborate with various teams for feature delivery and system health monitoring
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Design, build & maintain data infrastructure.
Enhance data monitoring & alerting.
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Build customer-facing self-serve products
Implement growth initiatives
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Develop and deploy AI models for voice cloning and text-to-speech
Prioritize tasks based on urgency and impact
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Analyze threat actor behavior and abuse patterns.
Implement state-of-the-art techniques for abuse detection.
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Lead and conduct advanced penetration testing
Define offensive security roadmap
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Lead design and development of Java-based backend services
Optimize platform components for high-throughput and low-latency
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Design, build, and maintain distributed backend systems.
Collaborate with product and engineering teams to shape product decisions.
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Design complex systems with teams
Build and manage backend services in AWS
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Lead and scale engineering organization for fundraising tools and payments
Drive PHP/React fundraising platform and .NET Core payments on AWS
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Design and maintain cloud-native infrastructure
Modernize identity infrastructure with Terraform
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Design complex backend systems
Build and extend features for fleet ops
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Architect, deploy, and maintain a scalable multi-tenant SaaS environment in AWS
Optimize AWS services for cost, performance, and reliability
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Lead design and development of internal tools
Implement and maintain build systems and CI/CD pipelines
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Lead end-to-end design and delivery of scalable data products.
Identify automation and integration opportunities.
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Designing complex software systems
Leveraging AI tools for efficiency
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Lead and conduct advanced white-box penetration testing
Perform security assessments on Cloud Infrastructure
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Analyze threat actor behavior and abuse patterns.
Implement new techniques for abuse detection.
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers to shape product decisions
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Develop backend solutions using Python
Deploy applications on GCP and other cloud providers
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Lead design and development of Java-based backend services
Optimize platform components for high throughput and low latency
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Design and implement cloud-native, distributed systems
Lead cross-functional collaboration for aligning architecture with business strategy
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Design and architect scalable infrastructure systems for ML inference platform
Optimize Kubernetes deployments for cost-effective model serving
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Maximize cloud value for key business customers
Lead technical engagements and architecture design
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Provide technical leadership on Cloud Licensing and Rubrik's cloud capabilities
Qualify opportunities based on various criteria including tech requirements and competition
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Lead and build Battle Road's data platform
Architect AWS-based data solutions
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Design, implement, and maintain reliable production systems
Lead incident response and perform post mortem analysis
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Lead global DevOps strategy and execution
Mentor and foster collaboration among DevOps teams
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Architect multi-cloud systems for Scale AI's platform.
Collaborate with platform, product teams, and customers to scale infra.
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Design and implement network security measures
Analyze network traffic for threats
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Build, administer, and support Linux and Windows server environments
Ensure high availability, performance, and recoverability of production infrastructure
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Prototype and iterate on AI-driven insurance products
Deliver end-to-end prototypes and MVPs
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Design, build, and maintain scalable backend systems
Shape product decisions with product and engineering peers
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Develop and deploy AI model serving solutions
Implement backend development using Python
