> Markdown version of [/jobs/ext/2720593-research-engineer-reinforcement-learning](https://www.wearedevelopers.com/jobs/ext/2720593-research-engineer-reinforcement-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Research Engineer - Reinforcement Learning

- **Company:** Prime Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Program Optimization, Continuous Integration, Machine Learning, Large Language Models, Machine Learning Operations, Software Version Control, Data Generation
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/research-engineer-reinforcement-learning-prime-intellect-6242168

## About the Role

* 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, sglang) 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 reasoning 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!

## Description

As a Research Engineer in our Reasoning team, you'll play a crucial role in shaping our technological direction, focusing on our test-time compute scaling research ideas. If you love working with synthetic data and teach LLMs reasoning abilities, this role is for you.
For more details about the project you would be working on, check out our outlook on decentralized training in the inference-compute paradigm., * 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 distributed RL 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.


## Related Videos

- [Enhancing AI-based Robotics with Simulation Workflows](https://www.wearedevelopers.com/videos/472-enhancing-ai-based-robotics-with-simulation-workflows)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Augmented Intelligence for transport planning: Human in the Loop Modelling](https://www.wearedevelopers.com/videos/72-augmented-intelligence-for-transport-planning-human-in-the-loop-modelling)
- [Adding knowledge to open-source LLMs](https://www.wearedevelopers.com/videos/1522-adding-knowledge-to-open-source-llms)
- [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around)
- [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)