Senior Machine Learning Engineer

Summary

Join Byborg's Machine Learning R&D team as a Lead Machine Learning Engineer! Lead the design, development, and deployment of advanced machine learning models to solve complex business problems within our live streaming apps. Collaborate with engineers and stakeholders to implement innovative solutions, develop and maintain production-level code, and optimize solution performance. Partner with other engineers to create, evaluate, and iterate on models. Contribute to code reviews, mentor junior engineers, and enhance overall code quality. Byborg offers an exceptional compensation package, private health insurance, a cafeteria benefit, professional growth opportunities, company merchandise, and a fun, collaborative work culture.

Requirements

• B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field
• 6+ years of industry experience in developing and deploying ML solutions
• Proficiency in Python and experience with popular data science libraries
• Expertise in ML frameworks (both deep and classical/shallow learning) like TensorFlow, PyTorch, and Scikit-Learn
• Strong understanding of classical/shallow and deep learning algorithms, and practical experience in applying them
• Proficient in statistics methodologies and comfortable with techniques such as clustering, forecasting, regression, and classification
• Excellent problem-solving skills and a strong engineering mindset, with the ability to write high-quality, maintainable code
• Exceptional communication and collaboration skills, with a proven track record of working effectively in a team

Responsibilities

• Lead the design, development, and deployment of advanced machine learning models to solve complex business problems
• Collaborate with a diverse team of engineers, and stakeholders to brainstorm and implement innovative solutions
• Develop and maintain production-level code, transforming machine learning models, PoCs into reliable, scalable pipelines
• Partner with other Machine Learning Engineers to create, evaluate, and iterate on models
• Optimize solution performance and code efficiency to handle large-scale data and applications
• Participate in code reviews, mentor junior engineers, and contribute to the overall code quality and knowledge sharing within the team

Benefits

• An exceptional compensation package
• Private health insurance
• AYCM sportpass
• Cafeteria benefit (gross 500.000 Ft / year)
• The opportunity to see your work directly contribute to the success of the company
• You have the chance to attend events, meetups, and other perks for your professional growth
• Company-branded merchandise
• A fun, professional, and collaborative work culture