Kiefer
Open positions
ML Engineer — ASR
ML Engineer improving automatic speech recognition for Kiefer's Sophea Meet: training/fine-tuning ASR models on real meeting audio, building benchmarks and error analysis, and improving production inference (accuracy, latency, cost). Core stack is Python with PyTorch/JAX/TensorFlow; English first, Greek next.
ML Engineer — Robotics
Develops and deploys ML models for physical robots — navigation, perception, and learned policies on a Unitree fleet (Go2, G1, H1, B2) with NVIDIA Jetson compute. Day to day: training/evaluating models, building data and evaluation pipelines, integrating with sensors and control systems, and testing sim-to-real on real hardware.
ML Engineer — Agents & LLMs
ML engineer improving the agent and long-context LLM capabilities behind Kiefer's AI products: runs post-training experiments (SFT, preference optimization, RL), builds benchmarks and verifiers for multi-step agents, curates training data, and hardens inference for production. Core stack is Python with PyTorch/JAX/TensorFlow.