ML Engineer designing and building AI applications for customers in production environments. Collaborating with data scientists and engineers to operationalize ML models with a hybrid work environment.
About the role
- Staff Machine Learning Engineer at Quantcast working on ML applications and large-scale global systems. Collaborating with teams to implement solutions for real-time challenges in advertising technology.
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.
- 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
Benefits
- eligibility for a performance bonus
- equity
- comprehensive benefits package
- generous vacation
- medical coverage
- dental coverage
- vision coverage
- retirement plans
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