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AI Research Engineer (Agentic Reinforcement Learning)

Jobgether 路 US

Extracted from the posting

Base
Not stated
Remote
Fully remote, work from anywhere in the world
Stack
PyTorch

AI Research Engineer role focused on agentic reinforcement learning for multimodal models, based in the United States. Responsibilities include RL algorithms for diffusion and autoregressive architectures, reward modeling, evaluation protocols, and distributed training infrastructure. Requires PyTorch and a publication record at top-tier ML conferences.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Research Engineer (Agentic Reinforcement Learning) based in United States.

As an AI Research Engineer specializing in Agentic Reinforcement Learning, you will drive research and innovation in next-generation intelligent systems.
You will develop advanced reinforcement learning techniques that improve decision-making, adaptive behavior, and performance across multimodal AI architectures.
Working with text, images, audio, and other data modalities, you will help build models capable of solving complex, real-world challenges.
Your work will involve designing scalable training infrastructure, optimizing reward mechanisms, and improving the reliability of autonomous AI agents.
You will explore cutting-edge approaches involving diffusion-based generative models, autoregressive architectures, and unified multimodal frameworks.
Through rigorous experimentation and benchmarking, you will push the boundaries of model performance, efficiency, and generalization.
This fully remote opportunity offers the chance to contribute to impactful AI research within a fast-moving, globally distributed technology environment.

Accountabilities

    How Jobgether works:

    We use an

    AI-powered matching process

    to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

    We appreciate your interest and wish you the best!

    聽Why Apply Through Jobgether?

    Data Privacy Notice:

    By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

    #LI-CL1

    Technologies

    PyTorch
    Jobgether
    Jobgether

    Job details

    TypeFull-time
    Work ModeRemote
    LevelSenior
    LocationUS
    PostedNov 06, 2026
    Apply Now

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