HIRING: ML Researcher Intern Location: Remote Pay: ₹25K–1.5L/month (scaled to output). RAETH builds AI training infrastructure for frontier labs (evals, RL envs, expert data) focused on quant trading, betting and business use cases. You'll be running experiments on frontier models, designing novel evaluation methodologies, training and fine-tuning models for specific reasoning tasks. If you've ever read an ML paper and thought "the eval setup is doing all the work here", this role is for you. Requirements: Experience running real experiments (training runs, ablations, eval pipelines), not just notebooks Comfortable with PyTorch, distributed training, and reading papers faster than they come out You think rigorously about what your results actually show vs. what you want them to show Nice to have: Published at NeurIPS/ICML/ICLR or similar, or strong arxiv preprints Background in quant, finance, or markets You've trained something non-trivial end-to-end (not just fine-tuned a HF model with default args) must follow me to dm your best work and send your resume to careers@raeth.ai note: please do not use automated services to send over slop applications
