Responsibilities
- Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.
- Run Machine Learning experiments to test new modeling ideas.
- Write clean, efficient, and maintainable code using industry best practices.
- Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.
- Identify performance bottlenecks and optimize system components for enhanced scalability.
- Generate and review proposals for further research and development directions.
- Keep up to date with developments in machine learning outside the company.
Experience
- 3+ years of experience
- Fluency in Python, Java or similar programming languages.
- Strong skills in mathematics and statistics.
- Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.
- An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.
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