Responsibilities
- Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
- Run regular A/B experiments, gather data, and perform statistical analysis
- Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
- Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
- Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving
Requirements
- 6+ years of building models for business application experience
- Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
- Strong CS fundamentals. Should be able to write an algorithm with ease.
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
- Can brainstorm and identify the right KPIs and objective functions.
Nice to Have
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Have publications at top-tier peer-reviewed conferences or journals
- AI growth mindset / AI Literacy
Benefits
- Global access to mental health and financial wellness support and resources
- Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
- Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs
Work Arrangement
Hybrid — Bangalore