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.
Prototype solutions, conduct data analyses to tackle large-scale inference problems, and run ML experiments to test new modeling ideas.
Write clean, efficient, and maintainable code using industry best practices.
Work multi-functionally with other teams to develop standard methodologies in model building and validation, and collaborate closely with engineering teams to deliver high-quality ML products.
Identify performance bottlenecks and optimize system components for enhanced scalability.
Mentor machine learning engineers to grow their careers and improve their skills, including participating in code reviews and providing constructive feedback to team members.
Generate and review proposals for further research and development directions.
Keep up to date with developments in machine learning outside the company.
Requirements
M.S in Computer Science or related technical field with 8+ years of industry experience or Ph.D. with 5+
Fluency in Python, Java, or similar object-oriented programming language
Strong 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
Strong skills in math, statistics, data visualization, and storytelling
Strong analytical, planning, and social skills
Experience coaching and developing junior machine learning engineers
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