Sonar
AI Researcher - Post-Training (m/w/x)
Vollzeitnur vor OrtBerufserfahren
Genf
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Designing, prototyping, and validating 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 code
- Ability to write 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
- Experience constructing high-quality datasets
- Experience defining objective success metrics
- Experience building robust benchmarks for AI solutions
- Experience with modern LLM architectures
- Experience with modern LLM techniques
- Experience with fine-tuning strategies (e.g., LoRA, QLoRA)
- Experience with advanced prompt engineering
- Experience building RAG pipelines
- Experience optimizing RAG pipelines
- Experience working with vector databases
- Experience working 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 multiple research topics
- Excellent communication skills in English
- Talent for translating complex research findings
- Talent for creating actionable artifacts for product engineering squads
Aufgaben
- Participate in conceptualization and brainstorm novel product improvements
- Provide practical feedback to steer exploratory research
- Design, prototype, and validate novel ML models for bug and vulnerability detection
- Build prototypes to prove viability and scalability of research concepts
- Identify and propose mitigations for engineering bottlenecks and scalability limits
- Evaluate new AI-powered features and construct high-quality datasets
- Define success metrics and implement benchmarks using AI tools
- Build and manage data pipelines for code-centric datasets
- Process and version massive code-centric datasets for model training
- Collaborate with engineering and product teams to integrate AI prototypes
- Articulate and document complex technical concepts and research findings
Berufserfahrung
2 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
AIPythonJavaAI/ML frameworksLLMsAI toolsRAG pipelinesvector databasessemantic searchlarge-scale data processing frameworksAWS
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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