Applied AI Researcher, System Self-Construction

Distyl AI

$150K — $250K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 4understand4 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.

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