5+ years of experience building modular and composable systems with dynamic interactions.
Strong background in developing intelligent systems using advanced AI techniques.
Demonstrated research aptitude through published work or impactful projects.
Proficiency in using AI tools like ChatGPT and Cursor to enhance personal productivity.
Capable of building prototypes and conducting experiments to showcase ideas.
Preference for practical demonstrations over theoretical discussions.
Responsibilities
Build autonomous systems that can create and refine other systems.
Design architectures that efficiently automate complex system creation processes.
Explore and develop self-assembling frameworks using advanced AI methodologies.
Research and define principles for recursive system design and self-evolution.
Utilize compound AI systems and agentic collaboration to tackle complex challenges.
Benefits
Opportunity to work at the forefront of LLM research and enterprise innovation.
Ownership of significant research projects with high autonomy.
Access to cutting-edge AI models and real-world business challenges.
Comprehensive health coverage for employees and dependents, with a competitive benefits package.
Participation in a mission-driven organization aimed at enhancing productivity through AI.
Collaborative environment that fosters innovation and professional development.
Full Job Description
Key Responsibilities
The System Self-Construction team builds systems that can build other systems. Researchers design architectures capable of autonomously generating, assembling, and refining sub-systems. This involves developing meta-learning loops, automated pipeline generation, and self-architecting frameworks that reduce the human bottleneck in complex system creation.
Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. They draw from meta-learning, program synthesis, and evolutionary computation to explore what it means for a system to 44understand45 and redesign itself. Their work defines the frontier of self-referential, generative system architectures.
Who We Are
Experience Building Modular and Composable Systems: You9ve engineered architectures where components interact dynamically (e.g. graph-based planners, agent orchestration frameworks, workflow engines, or automated pipeline builders).
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you9ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you9ve done.
Uses AI Every Day: Before you can revolutionize someone else9s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
What We Offer
The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday-Thursday) in-office.
