SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Vega is a fast-growing cybersecurity startup building an AI-native platform for Security Operations Centers (SOCs). The company is redefining security analytics and operations with a next-generation operating system for security teams, already delivering impact at some of the world's largest organizations.
As an AI Researcher, you will be part of the core team building the AI systems that power Vega's products. This is a hands-on research role with significant ownership and a strong focus on taking ideas from experimentation to production. You will work across research and engineering, from training and post-training state-of-the-art large language models (LLMs) to applying them to challenging real-world problems such as agentic behavior, coding, and security-related decision-making.
Key responsibilities include:
- Training, adapting, and scaling state-of-the-art LLMs using techniques such as supervised fine-tuning (SFT), knowledge distillation, LoRA, and reinforcement learning
- Developing and evaluating new algorithms and approaches, bridging cutting-edge academic research with production-grade AI systems
- Optimizing models for production, balancing quality, latency, throughput, and cost at scale
- Owning the AI lifecycle—from algorithmic prototyping and synthetic data generation to evaluation, deployment, and iteration of production AI features
- Working closely with engineering and product teams to translate research advances into impactful AI capabilities
- Leading research initiatives that advance the capabilities of Vega's AI systems
The role offers the opportunity to shape both the direction of AI research and the systems built around it, with a focus on real-world impact in the cybersecurity domain.
Requirements: Not explicitly stated in the posting.
