about 5 hours ago
Responsibilities
- Develop scalable and effective ML models and data pipelines for identity and audience segmentation.
- Design and run experiments to measure impact and inform product decisions.
- Build and productionize generative AI features for reporting and insights.
- Enhance automation and reliability across model training and deployment.
- Collaborate with software and ML engineers for end-to-end solution delivery.
- Partner with stakeholders to shape ML and Gen-AI strategy for advertising.
Requirements
- 5+ years of experience in applying ML or data science to business problems.
- Master's degree or higher in CS, CE, ML, or a related field with 4+ years of experience.
- Strong computer science fundamentals and algorithm design skills.
- Experience with ML techniques for large-scale data problems.
- Ability to define KPIs and evaluation frameworks for ML systems.
- Proficiency in programming languages such as Python, Scala/Java, or C/C++.
- Experience with large-scale data platforms like Spark or data lakes.
- Familiarity with LLM/Gen-AI pipelines and safety considerations.
- Prior publications, patents, or open-source contributions are a plus.
Benefits
- Comprehensive benefits including healthcare, life, and retirement options.
- Global access to mental health and financial wellness support.
- Support for taking time off according to local policies.
- Flexible remote work options on Fridays.
Tech Stack
Categories
AI & MLData Science