Senior Security Researcher
Confirmed live in the last 24 hours
Veracode
Job Description
Looking for an innovative, high-growth, multi-award-winning company in one of the hottest segments of the security market? Look no further than Veracode!
Veracode is a global leader in Application Risk Management for the AI era. Powered by trillions of lines of code scans and a proprietary AI-generated remediation engine, the Veracode platform is trusted by organizations worldwide to build and maintain secure software from code creation to cloud deployment.
Learn more at www.veracode.com, on the Veracode blog, and on LinkedIn and Twitter.
We are seeking a Principal AI Researcher to join Veracode’s AI & Innovation Research Group. The Principal AI Researcher will lead research projects for improving Veracode’s product portfolio or creating new products through the application of AI. They will also coach and guide engineering teams during the implementation of AI projects.
What you will be responsible for:
- Conduct research to identify and implement new AI technologies and techniques across Veracode’s products
- Design and implement experiments to evaluate the effectiveness of AI technologies through proof of concepts (PoCs)
- Collaborate with cross-functional teams to integrate AI solutions into existing products and systems.
- Stay current on industry trends and advancements in AI research and technology.
- Mentor and guide researchers and developers across teams on AI techniques.
Required Skills:
- Bachelor's or Master’s Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.
- Proven track record as an AI Researcher / Engineer, with portfolio examples of successful machine learning or AI projects.
- Proficiency in programming languages such as Python or Java.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for AI / ML projects.
- Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
- Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
- Hands-on experience with Context Engineering, Fine-Tuning (e.g. LoRA), Retrieval-Augmented-Generation (RAG), Multi-Agent Patterns or other GenAI techniques.
- Experience with AI / ML frameworks and tools like LangChain, Spring AI, LlamaIndex, AutoGen, Crew.AI, LangFuse, AWS Bedrock / SageMaker.
- Experience with version control systems like Git, enabling effective collaboration and code management.
- Strong problem-solving skills and the ability to think critically and analytically.
- A passion for staying updated with the latest advancements in AI research and technology.
What we offer you:
- Outsta
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