AI Research Scientist/Engineer

11 мес. назад

SwitzerlandEuropeOnsite

aimachine learningpython

Research and engineer AI-driven code verification solutions at .

О компании

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow,, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explaina

Обязанности

Create & Innovate: Actively participate in the conceptualization phase. Brainstorm novel ways to improve our products and provide immediate, practical feedback to steer exploratory research toward paths that are both impactful and engineering-feasible.
Develop Advanced AI Models : Design, prototype, and validate novel ML models that identify and resolve complex bugs, vulnerabilities, and code smells, going beyond the capabilities of traditional static analysis.
Develop Pragmatic Prototypes: Build hands-on prototypes that prove the viability and scalability of research concepts. Proactively identify engineering bottlenecks or scalability limits and propose effective mitigations early in the research phase.
Evaluate & Benchmark: Drive the rigorous evaluation of new AI-powered features. Construct high-quality datasets, define relevant success metrics, and implement comprehensive benchmarks leveraging Sonar’s existing IP alongside third-party and open-source AI tools.
Engineer Data Pipelines : Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale.
Translate Prototypes to Products : Collaborate closely with engineering and product teams to integrate successful AI prototypes into Sonar's cutting-edge products, ensuring they meet the needs of our global user base.
Communicate and Evangelize : Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders.

Требования

Strong industry experience in AI and a solid understanding of modern software engineering practices and tools, with minimum 2 years experience in industry.
Exceptional programming skills in Python (other programming languages such as Java is a strong plus), and the ability to write clean, well-documented code for product integration.
Practical experience working with modern AI/ML frameworks, LLMs, and integrating third-party or open-source AI tools into functional prototypes.
Proven experience in data handling: constructing high-quality datasets, defining objective success metrics, and building robust benchmarks for AI solutions.
Experience with modern LLM architectures and techniques, such as:
Fine-tuning strategies (e.g., LoRA, QLoRA) and advanced prompt engineering.
Building and optimizing Retrieval-Augmented Generation (RAG) pipelines.
Working with vector databases and semantic search.
Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS). 
Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy.
The ability to fast context-switch and maintain momentum across multiple concurrent, fast-moving research topics.
Excellent communication skills in English, with a talent for translating complex research findings into clear, actionable artifacts for product engineering squads.