Job Description

Who We Are:

At Dria, we're building a distributed, crowdsourced hyperscaler—a movement led by everyday people that unlocks faster, more affordable inference for everyone.

Dria powers scalable, high-performance inference across diverse CPU and GPU platforms. Our mission is to deliver accessible, cutting-edge performance anytime, anywhere.

We're developing an inference engine optimized for heterogeneous devices, along with an open-source, crowdsourced AI inference SDK tailored for distributed AI workloads.

Our research is focused on delivering high-quality AI for 8 billion unique lives, with an emphasis on compilers, sharding, peer-to-peer networks, CPU/GPU inference, and data generation.

About the Job:

As an AI Researcher at Dria, you will play a pivotal role in advancing AI research, developing cutting-edge models, and improving user interactions with AI-driven systems. You will contribute to reinforcement learning environments, fine-tuning language models, and integrating AI research into real-world applications. Additionally, you will engage in open-source collaborations to drive innovation and ensure Dria remains at the forefront of AI advancements.

Key Responsibilities:

Research & Development

• Assist in research and development to advance Dria’s decentralized intelligence products.
• Contribute to data generation pipelines, optimizing reinforcement learning (RL) and gym environments.
• Develop state-of-the-art generative models to improve output quality and diversity.
• Improve AI-driven user interfaces, enabling efficient data requests and retrieval.

Collaboration & Open Source Contributions

• Work closely with engineering and product teams to integrate AI research findings into Dria’s product roadmap.
• Contribute to open-source initiatives, including code-sharing and collaborative AI development.
• Engage with AI research communities, fostering partnerships and industry progress.

Model Tuning & Ethical AI Development

• Assist in fine-tuning large language models to align with user preferences and ethical AI principles.
• Implement continuous model improvement techniques for adaptive and scalable AI systems.
• Contribute to the development of transparent, fair, and responsible AI models.

Qualifications:

• Strong research background in AI/ML, reinforcement learning, and generative modeling.
• Experience with data pipelines for reinforcement learning environments.
• Proficiency in Python, PyTorch, TensorFlow, and deep learning frameworks.
• Hands-on experience with transformers, diffusion models, or other generative AI architectures.
• Familiarity with model fine-tuning, preference alignment, and ethical AI methodologies.
• Knowledge of open-source AI development and best practices in collaborative research.

What We Offer:

• Top business contacts.
• Direct cooperation with our founders/managing directors.
• Diverse learning and training opportunities and personal coaching from experienced entrepreneurs.
• Remote/Hybrid working opportunities.
• Flexible working hours.
• A dynamic work ecosystem where you can take the initiative and responsibility.
• Enjoyable team/company activities.
• Working in an international setting.
• A job with Purpose and Meaning!

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