• Strong experience with machine learning and modern language models
• Hands-on experience fine-tuning, evaluating, or adapting language models
• Strong Python skills and comfort working with messy, real-world datasets
• Ability to design rigorous experiments and interpret the results clearly
• Experience building or improving evaluation systems for AI models
• Strong analytical skills and the ability to debug model behavior
• Clear written and spoken communication, so you can explain findings to technical and non-technical teammates alike
• A practical mindset: you care about production impact, latency, reliability, and customer outcomes
• A PhD in machine learning, NLP, or a related field
• Experience with conversational AI, voice AI, or customer-support automation
• Experience with SFT, preference tuning, DPO, RFT, GRPO, RLHF, LoRA, or QLoRA
• Familiarity with model serving, inference optimization, or vLLM
• Experience with synthetic data generation and data quality pipelines
• Experience working in a startup or fast-moving product environment