Machine Learning Engineer

Job Description

• Develop and productionize ML systems for customer-facing products using Kaito’s algorithms.

• Lead ML system design for recommendation systems and search ranking.

• Drive ML excellence and influence engineering best practices across teams.

• Work on ranking, classification, recommendation, sentiment analysis, and optimization problems.

• Design, develop, and implement ML models and algorithms to solve complex business problems.

• Build and optimize data processing pipelines for structured and unstructured data using LLMs.

• Explore state-of-the-art ML techniques and develop highly efficient, scalable solutions.

• Implement end-to-end ML solutions, from data preprocessing and experimentation to model deployment.

• Collaborate with cross-functional teams to integrate ML capabilities into production systems.

• Communicate and advocate technical solutions to research, engineering, and business stakeholders.

• Conduct research and experiments to improve model performance and system efficiency.

• Create and maintain technical documentation for ML systems and models.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• 1+ year of relevant experience in ML engineering or a related field.

• Strong programming skills in Python, Java, and JavaScript.

• Experience with PyTorch and scikit-learn.

• Knowledge of LLMs and NLP techniques.

• Familiarity with full-stack development using Vue.js, SvelteKit, or similar frameworks.

• Experience in data mining, data analysis, and data visualization.

• Understanding of software development principles and system design.

• Experience with recommendation systems, search ranking, or large-scale ML production systems is a plus.