Applied AI Researcher for System Self-Improvement

Distyl AISan Francisco

On-site Full-time $130K/yr - $250K/yr

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Experience Level

Experience

Qualifications

Ideal candidates will possess a strong research background in AI methodologies. A passion for pushing the boundaries of technology and a desire to work in a fast-paced, innovative environment are essential. Previous experience in self-improving systems, reinforcement learning, and meta-optimization will be highly regarded.

About the job

About Distyl AI

Distyl AI specializes in crafting production-grade AI systems that enhance the core operational workflows of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and profound enterprise AI knowledge, we deliver efficient AI solutions that ensure rapid value realization, often within a quarter.

Our innovative products have empowered Fortune 500 clients across various sectors, including insurance, consumer packaged goods (CPG), and non-profit organizations. Joining our team means you will play a vital role in helping businesses identify, develop, and extract value from their investments in Generative AI for the first time. We prioritize a customer-centric approach, starting from the customer's challenges and holding ourselves accountable for delivering financial impact while enhancing the lives of end-users.

Distyl is spearheaded by seasoned leaders from prestigious firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 companies.

What We Are Seeking

At Distyl, we are redefining the application of AI within enterprises. We need innovative researchers who aspire to go beyond mere incremental enhancements on benchmarks or optimizing existing processes; we seek individuals eager to creatively transform how software is utilized.

Our research team is composed of individuals from diverse academic disciplines, all with impressive research backgrounds. They thrive in an AI-native environment and would find traditional research organizations unchallenging.

Key Responsibilities

The System Self-Improvement team develops architectures that continually assess and enhance their own performance. Researchers are tasked with designing feedback-driven systems that can identify weaknesses, formulate corrective hypotheses, and autonomously implement improvements through self-reflection, retraining, or workflow adjustments. The ultimate aim is to create AI systems that compound in capability as they are used.
Researchers in the Self-Improvement domain investigate how systems can construct self-models, gaining insight into when, why, and how they succeed or fail. They delve into reflective reasoning, reward modeling, and self-evaluation strategies to facilitate autonomous evolution. This research area merges reinforcement learning, interpretability, and meta-optimization to innovate continuously learning enterprise systems.

About Distyl AI

Distyl AI is at the forefront of developing cutting-edge AI solutions that empower Fortune 500 companies by enhancing their operational efficiency. Our commitment to innovation and excellence, backed by industry leaders and significant investment, positions us as a leader in the AI landscape.

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