Sonar
AI Researcher - Post-Training (m/w/x)
Vollzeitnur vor OrtBerufserfahren
Genf
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Designing, prototyping, and validating novel ML models for AI code verification. Strong industry experience in AI and exceptional Python programming skills required. Relocation assistance and accommodation support provided.
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Anforderungen
- Strong industry experience in AI
- Solid understanding of modern software engineering practices
- Solid understanding of modern software engineering tools
- Exceptional programming skills in Python
- Ability to write clean, well-documented code
- Practical experience with modern AI/ML frameworks
- Practical experience with LLMs
- Practical experience integrating third-party AI tools
- Practical experience integrating open-source AI tools
- Proven experience in data handling
- Constructing high-quality datasets
- Defining objective success metrics
- Building robust benchmarks for AI solutions
- Experience with modern LLM architectures
- Experience with modern LLM techniques
- Experience with fine-tuning strategies
- Experience with advanced prompt engineering
- Experience building Retrieval-Augmented Generation (RAG) pipelines
- Experience optimizing Retrieval-Augmented Generation (RAG) pipelines
- Experience with vector databases
- Experience with semantic search
- Experience with large-scale data processing frameworks
- Experience with cloud infrastructure
- Experience driving research projects from ideation to prototype
- High degree of autonomy in research projects
- Ability to fast context-switch
- Ability to maintain momentum across concurrent topics
- Excellent communication skills in English
- Talent for translating complex research findings
- Talent for creating clear, actionable artifacts
Aufgaben
- Participate in conceptualization and brainstorm novel product improvements
- Provide practical feedback to steer research
- Design, prototype, and validate novel ML models
- Identify and resolve complex bugs, vulnerabilities, and code smells
- Build prototypes to prove research concept viability and scalability
- Identify and propose mitigations for engineering bottlenecks or scalability limits
- Evaluate new AI-powered features rigorously
- Construct high-quality datasets
- Define relevant success metrics
- Implement comprehensive benchmarks using Sonar's IP and third-party AI tools
- Build and manage robust data pipelines
- Gather, process, and version massive code-centric datasets
- Integrate successful AI prototypes into products
- Articulate and document complex technical concepts and research findings
- Evangelize research findings to stakeholders
Berufserfahrung
2 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
AIPythonJavaAI/ML frameworksLLMsAI toolsvector databasesAWS
Benefits
Sonstige Vorteile
- Relocation assistance
- Accommodation support
Von Nejo automatisch aufbereitet
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ITGenf
Sonar helps prevent code quality and security issues, enhancing developer productivity with AI-driven tools.
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