Applied AI Researcher, System Self-Improvement at Distyl AI

San Francisco, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Experience Building Feedback-Driven Systems: Built or studied systems that monitor, score, and adapt—evaluators, retrievers, iterative refinement loops, or performance dashboards that close the feedback loop
Experience Building with Models, Not Just Building Models: Expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.)
Proven Track Record of Research Results: Published in top journals, posted amazing work on Twitter, or demonstrated results elsewhere
Uses AI Every Day: Regularly uses tools like ChatGPT, Cursor, and Perplexity to accelerate workflow
Strong Programming and Data Analysis Skills: Ability to build prototypes and perform experiments to prove effectiveness
Biases Towards Showing vs Telling: Preference for demonstrating AI power today over discussing long-term ideas

Responsibilities

Design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing improvements through reflection, retraining, or workflow adaptation
Study how systems can form self-models—understanding when, why, and how they succeed or fail
Explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution
Bridge reinforcement learning, interpretability, and meta-optimization to pioneer continuously learning enterprise systems
Build architectures that continuously evaluate and enhance their own performance, compounding in capability through use

Skills

Key technologies and capabilities for this role

AI ResearchMachine LearningFeedback SystemsSelf-ImprovementReflectionRetrainingWorkflow AdaptationModel EvaluationSystem Architecture

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

The position is hybrid.

What experience is required for building feedback-driven systems?

Candidates need experience building or studying systems that monitor, score, and adapt, such as evaluators, retrievers, iterative refinement loops, or performance dashboards that close the feedback loop.

What skills are needed in working with AI models for this role?

The role requires expertise in building intelligent systems using models rather than training or fine-tuning them, including compound AI systems, agentic collaboration, and techniques like ensembling, ReAct, and graph-of-thoughts.

What kind of research track record is expected?

Candidates must have a proven track record of research results, such as publishing in top journals or posting impressive work on platforms like Twitter.

What makes a strong candidate for this researcher position?

Strong candidates are creative researchers with strong research track records who operate in an AI-native way, have experience in feedback-driven and compound AI systems, and seek to redefine software usage rather than incremental improvements.

Distyl AI

Provides customized AI solutions for enterprises

About Distyl AI

Distyl.ai provides artificial intelligence solutions tailored for enterprises, focusing on enhancing productivity and streamlining operations. Their products utilize generative AI and large language models, which can be customized to fit a client's specific data, workflows, and systems. This customization allows for smooth integration with existing technologies. Distyl.ai serves a wide range of clients, including Fortune 500 companies in sectors like Consumer Packaged Goods, Retail, Healthcare, Finance, and Manufacturing, as well as federal agencies. The company’s experienced team, which includes professionals from major tech firms and top AI research institutions, enables them to create scalable solutions that meet high standards. Distyl.ai aims to unlock value for clients quickly, typically within a quarter, by providing tailored AI applications that address unique business needs.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$26.3MTotal Funding

SERIES_ACompany Stage

Government & Public Sector, Enterprise Software, AI & Machine LearningIndustries

11-50Employees

Benefits

Health Insurance

Company Equity

Hybrid Work Options

Professional Development Budget

Risks

Rapid AI advancements by competitors could outpace Distyl AI's integration capabilities.

Reliance on OpenAI partnerships poses risks if partnerships are disrupted.

Complex AI integration may lead to client dissatisfaction if not managed well.

Differentiation

Distyl AI customizes AI solutions to specific client data and workflows.

The company integrates generative AI to enhance human productivity in enterprises.

Distyl AI's team includes experts from Palantir, Apple, and Microsoft.

Upsides

Recent $20M funding boosts growth and demand from Fortune 100 customers.

Strategic partnership with OpenAI enhances AI capabilities for enterprise clients.

Growing interest in AI customization drives market confidence and investment.

Land your dream remote job 3x faster with AI

Try Jobo Free