Remote Senior Machine Learning Engineer

Summary

Join a dynamic, collaborative environment at Zyte, where you will be at the forefront of machine learning innovation, solving complex challenges in web data extraction at scale. As a Senior Machine Learning Scientist, your primary role is to drive the development and implementation of machine learning technologies that scale and optimize web data extraction.

Requirements

• Deep understanding of machine learning algorithms and deep learning models (e.g., CNN, RNN, Transformers)
• Experience working with large language models (LLMs) and applying them in production
• Knowledge of data preprocessing, feature engineering, and model tuning
• Experience in deploying machine learning models at scale in production environments
• Strong expertise in Python and machine learning libraries (e.g., PyTorch)
• Knowledge of data structures, algorithms, and performance optimization techniques
• Experience with git, CI/CD workflows, and containerization technologies (e.g., Docker, Kubernetes)
• Strong understanding of software design principles and high-level code organization

Responsibilities

• Lead the design, development, and deployment of machine learning models and algorithms for web data extraction and processing
• Collaborate closely with domain experts, cross-functional teams, and stakeholders to identify data requirements, define hypotheses, and guide experimentation
• Perform data collection, cleaning, preprocessing, and exploration to enable high-quality model training
• Suggest and conduct experiments aimed at improving the accuracy and efficiency of existing models and systems
• Implement machine learning model improvements in production, optimizing codebases, and enhancing tooling
• Stay at the forefront of machine learning research, particularly in deep learning and large language models (LLMs), and apply innovative techniques to real-world problems
• Provide mentorship and guidance to junior team members, promoting best practices in machine learning and software engineering
• Contribute to the community through publications, talks, and open-source contributions

Benefits

• Have the freedom and flexibility to work from where you do your best work
• Work with cutting-edge open-source technologies and tools
• 35 days paid holidays