Forward Deployed Research Scientist

What you'll do

• Engage with client research teams to shape data strategy and project specifications.
• Run ablation studies and fine-tune open-weight models to measure data’s impact on model performance.
• Review annotation workflows and quality systems, and collaborate on benchmarks, white papers, and conference submissions.

What they ask for

• MS or PhD in Machine Learning, NLP, Computer Science, or a related quantitative field.
• Hands-on experience fine-tuning large language models, including open-weight models.
• Strong understanding of LLM training pipelines and how data quality and composition affect training.
• Experience designing and executing rigorous experiments, including controlled comparisons and statistical analysis.

Nice to have

• Prior experience at a frontier AI lab, applied ML startup, or in research with direct client or stakeholder interaction.
• Experience evaluating or benchmarking LLMs, human data pipelines, reinforcement learning, reward modeling, or RLHF; published ML/NLP research.

Pay

$200,000 — $300,000 USD (base salary)

Tools

Llama, Mistral, Qwen, RLHF, DPO

AI focus

Empirically validate training-data strategies by fine-tuning and evaluating open-weight models; contribute applied findings to AI research and publications.