Data Scientist - Intelligent Experiences, MLO

What you'll do

• Build synthetic-data generation and agentic LLM workflows for data curation, annotation, quality assurance, and evaluation.
• Evaluate synthetic assets and model quality using metrics, judges, human studies, and controlled ablations.
• Partner with modeling, product, and privacy/legal teams to guide data decisions and assess emerging techniques.

What they ask for

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related engineering field.
• 5+ years of hands-on experience applying NLP, computer vision, or multimodal machine learning to production systems, including large-scale data pipelines.

Nice to have

• Experience prompting, fine-tuning, and evaluating LLMs or vision-language/diffusion models; familiarity with LoRA/QLoRA, RLHF, DPO, or RAG.
• Strong software engineering skills, including 5+ years in Python and experience with workflow orchestration, cloud platforms, and distributed data processing; publications or open-source work and privacy-preserving data experience are a plus.

Pay

$150,400 and $277,600 USD base salary

Tools

Python, Airflow, AWS, GCP, Spark, Ray, LoRA/QLoRA, RAG

AI focus

Builds synthetic-data generation and agentic LLM workflows, and fine-tunes and evaluates LLMs, vision-language models, and diffusion models for downstream tasks.