about 22 hours ago
Bengaluru, IndiaSenior / Staff+
H1B Sponsor
Responsibilities
- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations.
- Run online A/B tests and analyze them against critical business KPIs.
- Collaborate with US engineering teams and cross-functional teams to translate business requirements into technical specifications.
- Nurture the ML ecosystem to withstand scale, developer velocity, and future business shifts.
- Provide technical leadership to drive the technical and ML roadmap for search ranking and monetization.
- Help recruit new engineers by interviewing, training, and mentoring new team members.
Requirements
- 6+ years of experience (or PhD with 5 years of experience) applying Machine Learning to large-scale problems in domains like recommendation, search, or ads.
- Strong computer science fundamentals and ability to convert ideas to code with ease.
- Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models.
- Familiarity with modern NLP stack and multi-modal representation learning is a plus.
- Experience with big data systems (Spark, S3, Airflow) and programming in Java, Scala, or Python.
- Good understanding of system architecture and experience in big data technologies and streaming architecture.
- MS in Computer Science, Statistics, or related field; Ph.D. preferred.
- AI literacy and curiosity, with experience or interest in Gen AI.
Benefits
- Comprehensive benefits including global access to mental health and financial wellness support.
- Local benefits may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).
- Support for taking time off in accordance with local leave policies and personal needs.
Tech Stack
Categories
AI & MLData Science