Artificial Intelligence Researcher

Company Description

DeepAdapt develops Adaptive Continual Intelligence (ACI), an innovative infrastructure layer for AI systems that enhances runtime intelligence after deployment. ACI bridges the gap between AI applications and models, enabling production systems to improve continuously through real-world usage without retraining cycles. With ACI, corrections take effect instantly, trusted repetitive tasks are processed locally, and new or complex requests are escalated to models only when necessary. DeepAdapt's technology unlocks smarter, faster, and more cost-efficient AI for high-volume applications such as customer-facing platforms, internal assistants, and automated support systems. Proven results include increased accuracy, faster response times, decreased costs, and greater operational efficiency.

The Opportunity

We're advancing the science of adaptive intelligence — how AI systems learn, adapt, and improve continuously from real-world experience. That mission rests on three pillars: continual and lifelong learning, reinforcement learning, and representation learning. ACI is our first major expression of this work, but the research frontier is far wider, and we're looking for an early researcher to help push it. This is a high-ownership, founding-level role: the ideas you develop will shape both the field we're building and the core of our technology — and you'll share in the upside through potential equity in the company. If you're driven by hard research problems, long-term impact, and putting your name on work that defines a category, this is a rare ground-floor seat.

Role Description

We are seeking an AI Researcher focused on adaptive intelligence for a remote role open to candidates based in Türkiye. You will investigate how models can learn and adapt continuously — spanning continual/lifelong learning, reinforcement learning, and representation learning — design novel algorithms and methods, run rigorous experiments, and turn promising research into working systems. This is a hands-on role for a researcher who genuinely understands how models learn and can train them — not someone who only orchestrates agents. You'll work closely with a small, multidisciplinary team, set and pursue a research agenda, and code fluently with modern AI coding editors to move quickly from hypothesis to result.

What You'll Do

• Research and develop novel methods across continual/lifelong learning, reinforcement learning, and representation learning
• Tackle core challenges such as learning without catastrophic forgetting, adapting policies from feedback and interaction, and learning robust, transferable representations
• Design, run, and analyze rigorous experiments; train, fine-tune, and evaluate models
• Translate research breakthroughs into prototypes and production-grade systems
• Collaborate directly with founders, shaping both the research direction and the product

Qualifications

• Strong foundation in Computer Science, Machine Learning, or a related quantitative field
• Depth in one or more of: continual/lifelong learning, reinforcement learning, or representation learning — with breadth across the others
• Proven research ability: designing experiments, developing novel methods, and rigorously evaluating results
• Deep understanding of how AI models learn, with hands-on experience training, fine-tuning, and evaluating neural networks
• Fluency coding with AI coding editors (e.g., Cursor, GitHub Copilot) to prototype and iterate quickly
• Ability to translate research into working systems
• Strong problem-solving skills and the drive to thrive in a fast-paced, early-stage, remote environment
• Ph.D. or Master's in CS, AI, ML, or a related field preferred but not required — exceptional self-taught researchers are welcome
• Publications or open-source contributions in continual learning, RL, or representation learning are a plus
• Experience with high-performance computing and GPU optimization is a plus
• Agentic AI understanding and hands-on experience building agentic systems is a strong plus

Who You Are

You think like an owner and a scientist. You're energized by open problems, you want meaningful skin in the game, and you measure yourself by the ideas you prove out and the impact they create. Ambiguity excites you, you move fast from question to experiment, and you'd rather help define a field than fill a seat.

What We Offer

• Potential equity in the company — real ownership in the research and technology you help create
• Founding-level impact: your work shapes both the science and the product
• Freedom to pursue a meaningful research agenda across continual learning, RL, and representation learning
• Remote-first, work from anywhere in Türkiye
• A small, ambitious team building frontier AI
• Location: Remote — Türkiye