What you'll do:
- 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.
- Write clean, efficient, and maintainable code using industry best practices.
- Collaborate closely with product and platform 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.
Who you are:
- You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field.
- Fluency in Python, Java or similar programming languages.
- Strong skills in mathematics and statistics.
- Exposure to 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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