Research Engineer - Reasoning

At Prime Intellect, we're on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models. We're building the infrastructure for decentralized AI development at scale, and we want to do this together with you.

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, 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.

Benefits

• 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.
• 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.