Senior Machine Learning Engineer

October 24

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Zyte

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Web crawling • Web scraping • Scraping • Scrapy • Data Science

201 - 500

💰 $3M Debt Financing on 2021-12

Description

• At Zyte, we empower businesses to easily extract the data they need to make informed decisions. • Founded in 2010, our global team of 240+ Zytans spans 28+ countries, all driven by the mission to simplify data extraction. • Open source is at the core of what we do. • As a Senior Machine Learning Scientist at Zyte, your primary role is to drive the development and implementation of machine learning technologies that scale and optimize web data extraction. • You will be working on cutting-edge projects that involve both research and production-level development. • You’ll innovate using machine learning models to automate data extraction and contribute to internal systems, improving the quality, efficiency, and performance of the Zyte platform.

Requirements

• 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

• Become part of a self-motivated, progressive, multi-cultural team. • 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