Inference
Inference.net helps teams ship AI that’s faster, smarter, and dramatically more cost-efficient. We deliver lower latency and higher-quality models at a fraction of the cost, with full OpenAI compatibility and no vendor lock-in. Companies use Inference.net to power real-time AI features, automate workflows, and scale mission-critical systems without blowing up their margins. Case studies: • The fastest growing AEO optimization software: trained a custom model that improved ranking accuracy for Fortune 500 clients, increasing conversion while lowering inference spend and stabilizing latency across high-volume workloads. • Fastest-growing nutrition tracking app: scaled to 10M+ users while cutting inference costs, processing millions of daily food images with custom vision models outperforming frontier VLMs. • Decentralized data network (search.video): processed billions of monthly video frames across 3M+ nodes using a specialized ClipTagger that boosted relevance and throughput. • Digital bank (120M+ customers): delivered 99.99%+ uptime, faster and more accurate compliance/servicing models at a fraction of API cost. Build AI products that scale, without sacrificing performance or profitability. You can find us also on X: https://x.com/inference_net
Open Positions at Inference
3 open positions
Optimize the full language-model inference stack, from CUDA kernels to serving frameworks, to deliver faster and more cost-efficient production systems. You’ll work directly with the founding team on high-impact model-serving performance challenges.
Build the end-to-end systems that train, evaluate, optimize, and ship specialized language models. This high-autonomy role combines applied ML research with production engineering and customer-focused model delivery.
Build polished, high-performance React experiences that give users control over Inference.net’s planet-scale LLM inference platform. This frontend-focused full-stack role spans UI systems, APIs, databases, performance, accessibility, and team mentorship.