Machine Learning Engineer – Hybrid Model

Position: Clio Machine Learning Engineer – Hybrid Work Model
Join Clio as a Machine Learning Engineer, combining advanced technology with legal expertise. Focus on NLP and GenAI to create impactful solutions for client challenges.

Clio is seeking a talented Machine Learning Engineer dedicated to developing innovative models that enhance customer experience. Collaborating with diverse teams, you will leverage structured and unstructured data to create efficiencies for clients.

This role offers a hybrid work model, ensuring flexibility and connection with team members.

Key Responsibilities:

• Build advanced ML models to improve customer interactions

• Develop LLM-based solutions for maximum efficiency

• Collaborate with product management and engineering teams

• Contribute to projects with MLOps and full stack engineers

Requirements:

• Hands-on experience in traditional ML and NLP

• Portfolio that demonstrates model development skills

• Knowledge of open-source LLM models and APIs

• Expertise in data preprocessing for complex datasets

• Strong communication skills for internal and customer relations

Bring your creativity and machine learning proficiency to Clio, where innovation meets legal solutions.
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