Senior Machine Learning/Staff Engineer

Smadex; Barcelona; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

private health insurance

LinkedIn Learning access

meal vouchers

gym allowance

Job summary

Smadex in Barcelona is seeking a Senior Machine Learning/Staff Engineer to lead architectural decisions and develop deep neural network algorithms. You will shape features, improve ML pipelines, and deploy scalable data analytics solutions while collaborating with Tech and Ops teams.

Requirements include 5+ years in data science, strong coding in Python/Scala/Java, experience with high‑performance algorithms, SQL, and English fluency. Preferred: Master’s in Statistics/CS, Spark, AWS, and Linux.

Qualifications

• 5+ years in data science or ML.
• Strong coding skills in Python, Scala and Java.
• Experience with high‑performance algorithms and statistical techniques.
• Fluency in English and ability to mentor others.

Responsibilities

• Lead architectural decisions for deep neural network algorithms.
• Develop new features and improve ML pipelines.
• Deploy scalable data analytics and ML solutions.
• Collaborate with Tech and Ops teams.

Skills

Python

Scala

Java

High‑performance algorithms

Statistical techniques

Data mining

Predictive modeling

Version control (Git/Bitbucket)

SQL

English

Education

Master's degree in Statistics/Applied Mathematics/CS

Tools

Apache Spark

AWS

Linux environments

Job description

Smadex is seeking a Senior Machine Learning/Staff Engineer to lead architectural decisions and development of deep neural network algorithms. Responsibilities include developing new features, improving pipelines, deploying scalable data analytics and ML solutions, and collaborating with Tech and Ops teams. Candidates must have 5+ years in data science, strong coding skills in Python, Scala, Java, experience with high-performance algorithms, statistical techniques, data mining, predictive modeling, version control (Bitbucket/Git), SQL, and excellent communication skills. Fluency in English and mentoring ability required. Preferred qualifications include a Master's degree in Statistics, Applied Mathematics, or Computer Science, experience with data visualization tools, digital marketing platforms, Apache Spark, AWS services, and Linux environments. The role offers a hybrid work model with 2 days remote per week.

• private health insurance
• LinkedIn Learning access
• meal vouchers
• gym allowance

and a collaborative work environment in Barcelona.