about 4 hours ago
Responsibilities
- Develop scalable ML models and data pipelines for advertising insights.
- Design and run experiments to measure impact and inform product decisions.
- Build and productionise generative AI features for reporting and analytics.
- Enhance automation and reliability in model training and deployment.
- Collaborate with software and ML engineers for end-to-end solutions.
- Shape ML and Gen-AI strategy for advertising measurement with stakeholders.
- Provide mentorship and promote best practices in ML engineering.
- Lead data-driven experimentation to quantify advertising value.
Requirements
- 5+ years of experience in applying ML or data science to business problems.
- Master's degree or higher in a related field or equivalent experience.
- Strong computer science fundamentals and algorithm design skills.
- Experience with ML techniques for large-scale data problems.
- Proficiency in programming languages such as Python, Scala, or Java.
- Familiarity with large-scale data platforms like Spark and Trino.
- Experience with LLM/Gen-AI pipelines is a plus.
Benefits
- Global access to mental health and financial wellness support.
- Comprehensive healthcare benefits including medical, dental, and vision.
- Retirement options such as 401(k) and pension plans.
- Support for taking time off in accordance with local policies.
Tech Stack
Categories
AI & MLData Science