Machine Learning Researcher - Founding Team

Nearhuman is hiring a Machine Learning Researcher to join its founding team and contribute to original AI research. The role focuses on model-level research and development, including forming hypotheses, implementing neural-network models, designing rigorous experiments, and evaluating results. The researcher will work directly with the founder and own projects from initial ideas through reproducible results.

Responsibilities:

• Develop and investigate research ideas. Turn open-ended questions about neural networks and learning into clear hypotheses and practical experiments
• Build the implementations. Write and modify model components, training loops and evaluation pipelines in Python and PyTorch. Diagnose problems rather than treating the training process as a black box
• Evaluate rigorously. Reproduce relevant results, establish credible baselines and run controlled comparisons and ablation studies. Distinguish meaningful improvements from noise, implementation errors or unfair comparisons
• Make the work reproducible and useful. Maintain clear code, experiment records and technical notes. Explain what worked, what failed and what the evidence supports doing next