Senior Machine Learning Engineer

Global powerhouse in IT and streaming, delivering top-tier online experiences. 

Cutting-edge tech and AI experiments ensure robust performance across our powerful data centers. With advanced design and testing methods, we stand out in the industry.

Dynamic portfolio includes 16+ leading brands in streaming, marketing, and lifestyle. 

Join the Machine Learning R&D team to design and deploy advanced ML models for live streaming apps. Collaborate with a diverse team, develop scalable pipelines, and optimize performance.

Vibrant team of over 40 nationalities drives innovation, serving millions daily.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Lead the design, development, and deployment of advanced machine learning models to solve complex business problems. 
• Collaborate with engineers and stakeholders to brainstorm and implement innovative solutions.
• Develop and maintain production-level code, transforming machine learning models and 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 overall code quality and knowledge sharing within the team.

• B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field.
• 5+ 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.