Research Engineer (AI)

TL;DR

Research Engineer (AI): Building open superintelligence infrastructure and distributed reinforcement learning stacks with an accent on synthetic data generation pipelines and test-time compute scaling. Focus on optimizing performance for large-scale AI inference workloads, contributing to open-source frameworks, and advancing reasoning capabilities in frontier models.

Location: Remote or in-office in San Francisco. Visa sponsorship and relocation assistance available for international candidates.

Salary: $150,000–$300,000

Company

A mission-driven startup building the open superintelligence stack, backed by $20M in funding from leading investors to democratize AI training and deployment.

What you will do

• Lead and participate in novel research for massive-scale synthetic data generation and orchestration.
• Optimize performance, cost, and resource utilization of AI inference workloads using advanced compute and memory techniques.
• Contribute to open-source libraries for synthetic data generation and distributed reinforcement learning.
• Publish original research in top-tier AI conferences such as ICML and NeurIPS.
• Distill technical project outcomes into clear, approachable blog posts for the developer community.
• Stay current with AI/ML infrastructure trends to proactively enhance platform capabilities.

Requirements

• Strong background in AI/ML engineering with experience building end-to-end inference or training pipelines.
• Deep expertise in distributed inference frameworks and techniques like vllm or sglang.
• Solid understanding of MLOps practices including versioning, experiment tracking, and CI/CD.
• Passion for advancing reasoning capabilities and democratizing access to AI.
• Ability to demonstrate high energy and technical contribution potential even without specific domain experience.

Culture & Benefits

• Competitive cash compensation with equity incentives.
• Flexible work arrangements allowing for remote work or in-person office time in San Francisco.
• Relocation assistance and visa sponsorship for international team members.
• Quarterly team off-sites, hackathons, and conference attendance opportunities.
• Collaborative environment focused on accelerating science and AI development.