Every nation has data. Few can protect it. Fewer still can act on it.
Dream is the sovereign AI and national cyber-defense company for governments.
We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world.
We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign.
The Dream JobWe are seeking a Applied Science Team Lead to manage a team of applied scientists within Dream's core product organization, building and deploying next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will lead a team within Dream's Cyber R&D organization, owning the company's core product portfolio while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
This is a hands-on leadership role. As a key technical leader, you will guide the evolution of our AI capabilities, converting cutting-edge ideas into impactful, production-ready systems, growing your team, and shaping our long-term direction.
The Dream-Maker Responsibilities- Lead, mentor, and grow a team of applied scientists, setting technical direction and fostering a culture of excellence and continuous learning.
- Design and build advanced AI models and systems that power Dream's core products and address real-world cybersecurity challenges.
- Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
- Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
- Influence the organization's roadmap and contribute to long-term technical strategy across Dream's AI and product landscape.
- 5+ years of experience as an applied researcher with proven production-level impact.
- Proven experience leading, training, and developing applied scientists or data scientists.
- Hands-on technical leader who remains deeply involved in research, modeling, and code.
- PhD in Computer Science, Mathematics, Statistics, or Engineering preferred; Master's degreerequired.
- Experience in applied research, including work with Transformers, open-source LLMs, or other advanced deep learning architectures.
- Strong programming skills in Python, with hands-on experience in modern ML frameworks and tooling.
- Excellent problem-solving skills and a strong experimental mindset.
- Strong communication skills and the ability to collaborate effectively across teams.
- High curiosity and a passion for learning new technologies, methods, and domains.
- hands-on experience training large language models, including supervised fine-tuning (SFT) and reinforcement learning (RL).
If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!
Skills Required
- 5+ years of experience as an applied researcher with proven production-level impact
- Experience leading, training, and developing applied scientists or data scientists
- Hands-on experience with research, modeling, and coding
- Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field
- Experience with Transformers, open-source LLMs, or advanced deep learning architectures
- Strong Python programming skills and experience with modern machine learning frameworks and tooling
- Hands-on experience training large language models using supervised fine-tuning and reinforcement learning
- PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field
- Strong problem-solving, experimental, communication, and cross-functional collaboration skills
- Curiosity and willingness to learn new technologies, methods, and domains
Dream (dreamgroup.com) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dream (dreamgroup.com) and has not been reviewed or approved by Dream (dreamgroup.com).
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Equity Value & Accessibility — Funding and growth stage in a competitive AI/cyber market are framed as enabling competitive cash-and-equity offers, though the company has not disclosed specifics. Candidates are advised to confirm equity structure and eligibility directly given the lack of public detail.
Dream (dreamgroup.com) Insights
What We Do
Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the "unknowns," our AI transforms data into clear threat narratives and actionable defense strategies. Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.


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