Distyl

9 months ago

Applied AI Researcher, System Self-Improvement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

We are seeking a researcher to design and build feedback-driven, self-improving AI systems for enterprise use. You will explore self-models, reflective reasoning, and meta-optimization to enable autonomous evolution, delivering prototypes and experiments that demonstrate real-world impact for Fortune 500-scale problems.

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance. Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation.
•Researchers study how systems can form self-models—understanding when, why, and how they succeed or fail, exploring reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution.

Pay and Benefits

Salary: USD 130,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityRemote WorkMeal Allowance

Key Requirements

•Experience building feedback-driven systems: built or studied 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 techniques (ensembling, ReAct, graph-of-thoughts).
•Proven track record of research results: published work or notable public postings demonstrating impact.
•Uses AI everyday: actively using tools like ChatGPT, Cursor, and Perplexity to accelerate workflow.
•Strong programming and data analysis skills: able to build prototypes and run experiments to prove effectiveness to a Fortune 500 Head of AI.

Experience:Enterprise AIGenAIResearch

Skills:CommunicationProblem-solvingResearchAnalytical thinkingCollaboration

Languages:English

Tech Stack:Reinforcement LearningGraph-of-ThoughtsEnsemblingAgentic collaborationChatGPTCursorPerplexityOpenAI

Company Brief

Distyl

Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor

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Distyl

9 months ago

Applied AI Researcher, System Self-Improvement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance. Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation.
•Researchers study how systems can form self-models—understanding when, why, and how they succeed or fail, exploring reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution.

Pay and Benefits

Salary: USD 130,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityRemote WorkMeal Allowance

Key Requirements

•Experience building feedback-driven systems: built or studied 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 techniques (ensembling, ReAct, graph-of-thoughts).
•Proven track record of research results: published work or notable public postings demonstrating impact.
•Uses AI everyday: actively using tools like ChatGPT, Cursor, and Perplexity to accelerate workflow.
•Strong programming and data analysis skills: able to build prototypes and run experiments to prove effectiveness to a Fortune 500 Head of AI.

Experience:Enterprise AIGenAIResearch

Skills:CommunicationProblem-solvingResearchAnalytical thinkingCollaboration

Languages:English

Tech Stack:Reinforcement LearningGraph-of-ThoughtsEnsemblingAgentic collaborationChatGPTCursorPerplexityOpenAI

Company Brief

Distyl

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor