Applied Algorithms Researcher

Seeking Applied Algorithms Researchers for groundbreaking work in AI code generation at the forefront of GPT-4 technology. Ideal candidates are pioneers in AI with academic and applied research backgrounds, ready to innovate in code generation, evaluation flows, and multi-agent architectures.

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About the Role

Codegen seeks Applied Algorithms Researchers to push the boundaries of what GPT-4 and subsequent models can achieve, focusing on the core research machine and algorithms for code generation. This includes evaluation flows, multi-agent architectures, and code modification methodologies. The ideal candidate possesses a blend of academic research experience in AI from the pre-LLM era, hands-on software engineering outside academia, and a specific research interest in code generation and multi-agent systems. We value individuals who are prolific in developing research code to production quality and capable of self-guided research. This role is perfect for someone passionate about the rapid progress in AI, who prefers the dynamism of a cutting-edge research environment over traditional academia.

Our technology ecosystem is Python-centric, employing OpenAPI APIs, FastAPI, and Modal for backend development. We emphasize deep git integration, use Retool for internal applications, and maintain a minimal frontend using Remix.js and TypeScript.

Qualifications

Academic research experience in AI, preferably before the large language model (LLM) era, demonstrating a deep curiosity about AI.
Software engineering experience outside the university, ideally in applied research settings like Google, DeepMind, Anthropic, etc.
Focused research interest in code generation and multi-agent systems.
Proven ability to develop research code and elevate it to production quality.
Self-guided research capabilities.
A strong desire to contribute to fast-paced AI advancements outside of academia.

Responsibilities

The selected candidates will be tasked with:

Expanding our AI capabilities, including setting up evaluation flows, developing core algorithms for knowledge management and updates, and establishing the core architecture for generating AI-driven solutions.
Prototyping new solutions and collaborating with the engineering team to transition these into production.
Engaging in significant exploratory data analysis and working closely with senior software engineers to implement sophisticated algorithms.

Ready to apply?

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Codegen is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other characteristic protected by federal, state, or local laws. For California applicants, Codegen complies with all applicable state and local laws, including the California Fair Employment and Housing Act (FEHA), which prohibits discrimination and harassment in employment based on characteristics such as race, gender, disability, and more. We encourage candidates of all backgrounds to apply and are dedicated to fostering a workplace that is inclusive and supportive for everyone.