Senior Machine Learning Engineer - Python (7-12 yrs)

Job Description :

Function : Data Science and Analysis ? Data Science / Machine Learning Python Machine Learning LLMs AWS NLP

Responsibilities :

- Apply state-of-the-art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform.

- Run online AB tests and analyze them against the critical business KPIs.

- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications.

- Nurture our ML ecosystem to make it withstand scale, developer velocity, and future business shifts.

- Provide technical leadership to drive technical and ML roadmap for search ranking and monetization.

- Help in recruiting new engineers.

- Interview, train, and mentor new team members.

Requirements :

- 5+ years of experience (or PhD with 3 years of experience) applying Machine Learning to concrete problems at large scale in domains like recommendation search or ads.

- Strong CS fundamentals.

- Should be able 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.

- We'd love to see that you've worked with big data systems (Spark, S3 and Airflow) and can program (Java, Scala, or Python).

- Good understanding of system architecture.

- Have experience in big data technologies and streaming architecture, data pipelines, etc.

- MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred