4 months ago

AI Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

AI Scientist role focused on proposing, exploring, and building core algorithms for a self-improving reasoning engine. You’ll advance data-efficient methods to enable systems to reason with LLMs, probe their quirks, extract hidden knowledge, and synthesize fragments into reliable, complex answers, while contributing to publications and pioneering new reasoning strategies.

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design, implement, and evaluate core algorithms for the self-improving reasoning engine
•Explore and develop data-efficient methods to enable systems to learn to reason with LLMs
•Investigate probing techniques to extract hidden knowledge from language models and synthesize reliable answers
•Advance the core self-improvement loops that enable autonomous improvement over time
•Publish research findings and contribute to the team’s publication record and ideas-to-action pipeline

Key Requirements

•Deep, first-principles understanding of LLM reasoning, failure modes, and their quirks from hands-on experience
•Expertise in ML algorithm design, search, or optimization and knowledge of limitations of common LLM-training methods
•Ability to design novel, data-efficient methods for discovering optimal, task-specific reasoning strategies
•Passion for designing core self-improvement loops enabling autonomous learning from problems
•Strong publication record with a track record of turning ideas into tangible results

Experience:Artificial intelligenceMachine learning

Skills:CommunicationProblem-solvingAdaptability

Tech Stack:LLMsMachine learningAlgorithm designSearchOptimization

Company Brief

Poetiq

Industry: Digital Media

Website

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Poetiq

4 months ago

AI Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design, implement, and evaluate core algorithms for the self-improving reasoning engine
•Explore and develop data-efficient methods to enable systems to learn to reason with LLMs
•Investigate probing techniques to extract hidden knowledge from language models and synthesize reliable answers
•Advance the core self-improvement loops that enable autonomous improvement over time
•Publish research findings and contribute to the team’s publication record and ideas-to-action pipeline

Key Requirements

•Deep, first-principles understanding of LLM reasoning, failure modes, and their quirks from hands-on experience
•Expertise in ML algorithm design, search, or optimization and knowledge of limitations of common LLM-training methods
•Ability to design novel, data-efficient methods for discovering optimal, task-specific reasoning strategies
•Passion for designing core self-improvement loops enabling autonomous learning from problems
•Strong publication record with a track record of turning ideas into tangible results

Experience:Artificial intelligenceMachine learning

Skills:CommunicationProblem-solvingAdaptability

Tech Stack:LLMsMachine learningAlgorithm designSearchOptimization

Company Brief

Poetiq

Industry: Digital Media

Website