🚀 Hiring: Lead ML Engineer (Remote, Full-time)
We're building a platform for AI-lationships — emotionally intelligent connections between people and AI characters. Open-source models, real AI agency, no ChatGPT wrappers.
The role: Own the performance and technical direction of our LLMs. ~2/3 hands-on: making 1T+ parameter models run faster and cheaper on distributed GPUs. The rest: technical leadership of NLP/CV engineers. You lead through expertise, not project management.
Must-have:
Deep hands-on LLM inference optimization (SGLang, vLLM, TensorRT-LLM); Distributed inference/training: MoE, tensor/expert/pipeline parallelism, multi-node clusters; KV cache, attention kernels, batching, quantization, GPU profiling; Training/fine-tuning LLMs incl. post-training (RLHF, DPO).
Proven technical leadership + still writing code. PyTorch, transformers.
Advanced English or Russian.
Nice to have: CUDA/Triton, CV background, multimodal LLMs, open-source contributions, MSc/PhD.
Why join: Fully remote
· 28-day leave + 7 wellness days
· 50% training coverage
· health support up to $1000/yr
· $1000 every 3 years for workspace
· clear path to Head of ML.
Process: Intro call → Tech interview (90 min) → Final.
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