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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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Lead design and development of Java-based backend services
Architect and optimize high-throughput platform components
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Represent organization's security posture to customers
Drive technical security discussions
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Develop and optimize AI model serving infrastructure
Implement low latency and cost-effective text-to-speech solutions
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Lead advanced white-box penetration testing
Exploit security flaws in cloud infrastructures and Kubernetes clusters
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Design and maintain scalable distributed backend systems
Shape product decisions with product and engineering peers
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Analyze threat actor behavior and abuse patterns
Develop state-of-the-art techniques for abuse detection
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Lead technical discovery for Platform Eng, DevOps, Security, and AI/ML.
Design PoCs focused on AI governance and supply chain value.
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Lead design and development of distributed cloud-native backend services
Define data model and APIs for the single system of record
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Work with clients on big data challenges
Provide data engineering, data science, and cloud projects
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Develop and maintain GNSS flight and ground software
Collaborate with flight ops and science teams
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Leading design and development of Java backend services
Optimizing platform components for high performance
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Analyze and understand threat actor behavior and abuse patterns.
Research and implement state-of-the-art abuse detection techniques.
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Represent the company's security interests to customers and prospects
Drive technical security discussions and strategies
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Lead and conduct advanced white-box penetration testing
Perform security assessments on Cloud Infrastructure
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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 AI models for voice cloning and text to speech
Implement high availability applications using Kubernetes
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Configure systems and implement features
Troubleshoot IT environments
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Design and develop backend services for Identity and Trust
Migrate legacy systems to platform-first services
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Design and implement distributed backend services for customer onboarding
Collaborate with cross-functional teams to streamline onboarding processes
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Lead design, development, and scalability
Architect and optimize platform components
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Develop and implement AI model serving
Deploy high availability applications on Kubernetes
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering teams to shape product decisions
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Lead and conduct advanced white-box penetration testing.
Define offensive security roadmap and adopt new testing techniques.
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Analyze threat actor behavior and evolving abuse patterns
Research, prototype, and implement state-of-the-art LLM-driven techniques
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Serve as the primary security representative in customer engagements
Articulate security architecture, threat model, controls, and risk management approach
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Design, implement, and manage scalable AWS infrastructure
Build and maintain CI/CD pipelines
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Serve as the primary security representative in customer and prospect engagements.
Articulate security architecture and risk management approach.
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Analyze threat actor behavior and abuse patterns.
Implement state-of-the-art LLM-driven techniques for abuse detection.
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Contribute to cutting-edge voice cloning technology
Implement low latency and cost-effective text-to-speech systems
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Design and build scalable distributed backend systems
Work closely with product and engineering peers
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Lead design of Java services
Optimize platform components
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Developing and testing software systems
Coordinating software installations
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Serve as primary security representative in engagements
Articulate security architecture 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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Develop state-of-the-art voice cloning technology
Implement low latency and cost-effective text-to-speech solutions
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Analyze threat actor behavior and abuse patterns
Design and develop systems for abuse detection and prevention
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Perform advanced penetration testing on web applications, APIs, and cloud infrastructure.
Lead and define offensive security strategies and roadmaps.
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Design, develop, and deliver high-quality products
Build testable, scalable, trustworthy systems
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers
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Lead and conduct advanced penetration testing
Define offensive security roadmap
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Analyze threat actor behavior and evolving abuse patterns.
Research, prototype, and implement state-of-the-art detection techniques.
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Lead the design, development, and scalability of core Java-based backend services
Architect and optimize platform components for high-throughput workflows
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Develop state-of-the-art voice cloning solutions
Implement low latency and cost-effective text-to-speech systems
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Architect AWS cloud infra for global scale
Implement AI-powered automation tooling
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Execute joint marketing plans
Collaborate with various teams
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Design, build, deploy, and monitor production-ready ML services.
Collaborate with AI scientists to package and deploy ML models.
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Ship features across full stack
Work on retention, automation, and new product initiatives
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Lead design and sales of AI solutions on AWS
Engage C-level executives with AI demos
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Lead critical infrastructure initiatives across engineering
Design and own technical quality bar
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Design and build GRC automation processes
Integrate multiple technologies/APIs for control checks
