Senior Data Scientist - AI Search & LLM Systems

semrush; EE. UU.; A distancia; USD 150.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible paid time off

Hobby and team-building allowance

Employee support program

Financial assistance following theloss

Employee resource groups

Descripción de la vacante

Semrush is seeking a data science / machine learning engineer to develop ML approaches and services that support search optimization and AI-powered search. You will explore new data sources, improve algorithms, and collaborate with data engineering and product partners to turn research into useful capabilities.

The team builds internal ML services that other groups use to deliver product features, emphasizing reliable code, timely delivery, and cross-functional alignment across teams.

Formación

• Bachelor’s degree or equivalent practical experience.
• Five+ years of experience in data science or ML engineering.
• Strong understanding of ML, probability, statistics, and linear algebra.
• High proficiency in Python and ML tools/libraries.
• Hands-on experience with large language models.
• Knowledge of SQL.
• Ability to deliver dependable code under time constraints while collaborating across functions.

Responsabilidades

• Investigate new problem areas and develop data science solutions for product needs.
• Improve existing algorithms and evaluate potential new data sources.
• Collaborate with data engineers and product teams to shape and deliver solutions.
• Apply ML and statistical methods to data-driven projects.
• Contribute maintainable, reliable code and own delivery quality.
• Help align cross-functional partners on technical direction and project execution.

Conocimientos

Python

Machine Learning

LLMs

SQL

Statistics

Linear Algebra

Data Science

Collaboration

Educación

Bachelor's degree

Herramientas

GitLab CI

Vertex AI

Airflow

Grafana

Prometheus

Alertmanager

Descripción del empleo

Semrush is seeking a data science / machine learning engineer to develop ML approaches and services that support search optimization and AI-powered search. You will explore new data sources, improve algorithms, and collaborate with data engineering and product partners to turn research into useful capabilities.

The team builds internal ML services that other groups use to deliver product features, emphasizing reliable code, timely delivery, and cross-functional alignment across teams.