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.