Data Scientist (ML/NLP) - Flexible, Equity, Learning Budget

Chattermill; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

25 days holiday

Bank holidays

Birthday off

WFH allowance

Equity

Learning budget

Job summary

Chattermill is advancing AI-powered customer experience analytics and is seeking a machine learning professional to train and optimize models on large-scale text data. The role focuses on leveraging PyTorch and transformers to improve customer feedback insights and develop retrieval and ranking features that power our platform.

We value flexible work arrangements, including WFH, equity, and a learning budget to stay ahead in NLP and ML advances.

Qualifications

• Experience with PyTorch and transformer architectures.
• Proficiency in NLP tasks and real-world text data at scale.

Responsibilities

• Train, evaluate, and iterate on ML models for customer feedback tasks.
• Build LLM-powered features like retrieval, reranking, and insight generation.

Skills

PyTorch

Transformer architectures

NLP at scale

Job description

Chattermill is advancing AI-powered customer experience analytics and is seeking a machine learning professional to train and optimize models on large-scale text data. The role focuses on leveraging PyTorch and transformers to improve customer feedback insights and develop retrieval and ranking features that power our platform.

We value flexible work arrangements, including WFH, equity, and a learning budget to stay ahead in NLP and ML advances.