Research Engineer - Reinforcement Learning

At Prime Intellect, we are on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models. Our ultimate goal? Openly accessible AGI that benefits everyone. But we can't do it alone and we want to do this together with you.

We are building the infrastructure for decentralized AI development at scale. We aggregate global compute and enable researchers to collaboratively train state‑of‑the‑art models through distributed training across clusters.

As a Research Engineer in our Mid Training team, you'll play a crucial role in shaping our technological direction, focusing on our test‑time compute spend research ideas. If you love working with synthetic data and teach LLMs reasoning abilities, this role is for you.

Responsibilities

Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution

Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques.

Contribute to the development of our open‑source libraries and frameworks for synthetic data generation and mid‑training frameworks.

Publish research in top‑tier AI conferences such as ICML & NeurIPS.

Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers.

Stay up‑to‑date with the latest advancements in AI / ML infrastructure and tools, synthetic data gen research and proactively identify opportunities to enhance our platform's capabilities and user experience.

Requirements

Strong background in AI / ML engineering, with extensive experience in designing and implementing end‑to‑end pipelines for the inference or training of large‑scale AI models.

Deep expertise in distributed inference techniques and frameworks (e.g. vllm) for optimizing the performance and scalability of AI workloads.

Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration / deployment (CI / CD) pipelines.

Passion for advancing the state‑of‑the‑art in synthetic data generation and democratizing access to AI capabilities for researchers, developers, and businesses worldwide.

If you're not familiar with these, but feel like that you can contribute to our mission and you're a high‑energy person, get familiar with these resources here, here and here and please reach out!

Benefits & Perks

Competitive compensation, including equity and token incentives, aligning your success with the growth and impact of Prime Intellect.

Flexible work arrangements, with the option to work remotely or in‑person at our offices in San Francisco or Berlin.

Visa sponsorship and relocation assistance for international candidates.

Quarterly team off‑sites, hackathons, conferences and learning opportunities.

Opportunity to work with a talented, hard‑working and mission‑driven team, united by a shared passion for leveraging technology to accelerate science and AI.

We have recently raised a $5.5 million seed round from an awesome group of investors and angels, such as Clem from HuggingFace and Dylan Patel from SemiAnalysis.

If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

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