Machine Learning Engineer (DS Team) in Barcelona or Remote


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Job Description

Hi there!
We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance.
This is our Machine Learning Engineer role for those who want to turn ideas into reality using code, algorithms, and maybe a bit of magic.

Tasks in the role

  • Full project development cycle: From problem statement and research to experiments, model deployment, and monitoring

  • Development of classification/ranking/regression/clustering models

  • Working with LLM: Embeddings, prompt engineering, model fine-tuning

  • Supporting the infrastructure for conducting experiments, storing results, retraining models, quality monitoring, and alerting

  • Working with data providers' APIs

  • Code review

Who we are looking for

  • 3+ years of experience as a DS/MLOps/MLE

  • Strong understanding of the principles of machine learning algorithms, probability theory, statistics, linear algebra

  • High proficiency in Python and ML stack

  • Experience with Docker and k8s manifests

  • Knowledge of SQL

They say there are no perfect candidates, but that might well be you, if

  • You have experience with LLM

  • Experience with NLP

  • Experience with DVC

  • Experience with GitLab CI

  • Experience with GCP and Vertex AI

  • Experience in developing ETL processes with Airflow

  • Experience in deploying ML systems with batch/real-time processing and monitoring (Grafana, Prometheus, Alertmanager)

  • Reproducible research

  • You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better.

A bit about the team

We are a data science team responsible for supporting teams working in the SEO domain. We create internal services using machine learning, based on which other teams implement new products. Our team includes a Product Owner, a Technical Owner, three Data Scientists, and two MLOps Engineers. The workload is increasing, so we are looking for a Machine Learning Engineer.

Our stack:

  • Google Cloud Platform

  • Data Storage: ClickHouse, CloudSQL

  • Language: Python

  • Tools: Airflow, k8s, Docker, DVC, FastAPI, Catboost, Pandas

  • LLM APIs: OpenAI, Google, Anthropic

We will try to create all the right conditions for you to work and rest comfortably

  • It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both

  • Flexible working day start

  • Unlimited PTO

  • Hobby benefit

  • Breakfast, snacks, and coffee at the office

  • Corporate events

  • Training, courses, conferences

  • Gifts for employees

Finally, a little more about our company

We’ve been developing our product for 15 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.

10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,000 people around the world are working on its development. The Semrush team is constantly growing.
Semrush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws. All employment decisions are based on business needs, job requirements, merit, and individual qualifications.


About SEMrush

  • Ad Tech

  • Boston, MA, USA

  • 1,000 - 5,000

  • 2008


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