
Senior Machine Learning Engineer
Há 2 dias
Elevate your career in the field of machine learning engineering and advertising algorithms. As a key member of our global team, you will be responsible for building scalable and production-ready ML systems that optimize revenue while enhancing user experience.
About This RoleThis is an exciting opportunity to work at the intersection of advertising, personalization, and optimization, building ML software and infrastructure that drives ad performance and user engagement at scale.
Your Mission- Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
- Apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance
- Build scalable infrastructure to support real-time ad decisioning across millions of requests per day
- Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs
- Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery
- 5+ years of software development and ML engineering, including 3+ years focused on advertising systems
- Proven experience optimizing ad performance using both mature models and emerging ML technologies
- Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
- Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
- Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
- Strong analytical problem-solving skills with a proven track record of delivering measurable results
- Impact-Oriented: You align ML systems to business outcomes and measure what matters
- Technical Builder: You write clean, production-ready code and architect scalable systems
- Collaborative: You work seamlessly with global teams and communicate complex ideas clearly
- Resilient & Determined: You don't shy from challenges and drive projects through to impact
- Curious Innovator: You keep pace with ML/AI trends and creatively apply them to advertising
We are committed to equal opportunities for all employees and applicants. We value diversity, equity, and inclusion, and do not discriminate based on any protected characteristics.
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