5-7 years of experience in AI systems engineering.
Proven ability to design modular, composable architectures for AI systems.
Experience working with metamodels and compound AI systems.
Strong research background with published results in relevant fields.
Hands-on usage of advanced AI tools and technologies in daily workflows.
Proficient in programming and data analysis for prototyping and experimentation.
Demonstrated ability to deliver tangible AI solutions quickly.
Responsibilities
Design and build systems capable of autonomously constructing sub-systems.
Develop meta-learning loops and automated pipeline generation.
Research and implement recursive design principles for self-evolving systems.
Explore and innovate on generative system architectures.
Collaborate with other researchers to advance AI-native methodologies.
Benefits
Opportunity to contribute to cutting-edge LLM research in the enterprise context.
Autonomy in high-impact research projects with innovative approaches.
Access to advanced AI models and unique data sets from various industries.
Comprehensive healthcare coverage for employees and their families.
Flexible benefits including commuter perks and in-office lunches.
Engage in a mission-driven culture focusing on productivity advancements.
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 \"understand\" and redesign itself. Their work defines the frontier of self-referential, generative system architectures.
Who We Are
Experience Building Modular and Composable Systems: You\'ve 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 you\'ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you\'ve done.
Uses AI Every Day: Before you can revolutionize someone else\'s 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.
