Remote AI Research Engineer: Agentic RL

Jobgether; Turkey; Remote; TRY 600,000 - 1,100,000; Full time

Benefits offered by this job

Fully Remote Work

International Collaboration

Cutting-Edge AI Research

Conferences & Publications

Global Team

Professional Growth

Job summary

Jobgether partners with a leading tech company to hire an AI Research Engineer specializing in Agentic Reinforcement Learning, based in Turkey. You will drive research across multimodal AI architectures, diffusion-based approaches, and scalable RL systems.

Join a fully remote, globally distributed team, publish at top conferences, and translate advances into practical AI solutions while advancing state‑of‑the‑art capabilities.

Qualifications

• Advanced knowledge of reinforcement learning for multimodal systems.
• Experience publishing at top conferences.
• Experience scalable RL experiments in multimodal/vision-centric systems.
• Ability to translate research into practical AI solutions.

Responsibilities

• Research and develop reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image generation, autoregressive models for multimodal understanding, and unified architectures integrating multiple modalities.
• Design scalable reinforcement learning infrastructure supporting distributed training across complex multimodal systems.
• Develop and optimize reward modeling strategies to improve training stability, align model behavior with desired outcomes, and prevent reward hacking and related failure modes.
• Create, curate, and maintain multimodal simulation environments and training datasets to support robust model development, evaluation, and benchmarking.
• Design and implement rigorous evaluation protocols to measure model performance, monitor progress against established baselines, and validate research improvements.
• Analyze and optimize policy performance across different modalities by identifying bottlenecks in training, credit assignment, reward optimization, and cross-modal alignment.
• Investigate emerging reinforcement learning paradigms that enable AI agents to learn more effectively from environmental feedback.
• Improve model exploration, decision-making, and adaptive behavior to achieve state-of-the-art performance in dynamic, real-world environments.
• Conduct large-scale experiments and translate empirical findings into practical algorithmic improvements.
• Publish and present research findings at leading international conferences, including ICML, NeurIPS, ICLR, CVPR, ICCV, and ECCV.

Skills

Reinforcement Learning

Multimodal Learning

PyTorch

Research Methods

Experimentation

Education

Master's degree in Computer Science or related field

PhD in ML/NLP/CV preferred

Tools

PyTorch

Diffusion Models

Distributed Training

Job description

Jobgether partners with a leading tech company to hire an AI Research Engineer specializing in Agentic Reinforcement Learning, based in Turkey. You will drive research across multimodal AI architectures, diffusion-based approaches, and scalable RL systems.

Join a fully remote, globally distributed team, publish at top conferences, and translate advances into practical AI solutions while advancing state‑of‑the‑art capabilities.