Senior Machine Learning Engineer, Natural Language Generation

What you'll do

• Prioritize and drive modeling work; analyze user feedback and evaluation data to identify model shortcomings.
• Define evaluation mechanisms and workflows for data curation, metric calibration, and model improvement.
• Research post-training methods and implement pipelines, experiments, and simulations to assess modeling changes.

What they ask for

• MS or PhD in Computer Science or a related field, or equivalent practical experience.
• History of shipping AI features built on language models.
• Experience building and maintaining end-to-end model pipelines, from data curation/synthesis and LLM judges to post-training.
• Strong Python programming skills, including developing production-quality Python modules.

Nice to have

• History of driving cross-functional collaborations and leading technical efforts.
• Expertise deploying models on-device, or background in linguistics, multiple languages, or scaling NLP features globally.

Pay

$175,000 and $308,500 (base salary)

Tools

Python, LLM judges, SFT, PEFT, RLHF

AI focus

Develop and improve language-model-based AI features, including Summarization; work includes data synthesis and curation, prompt engineering, model evaluation, and research into SFT, PEFT, RLHF, and distillation.