Software Dev Engineer (ML)

Location: Onsite in Luxembourg or one of the available EMEA locations: France, Germany, Italy, Luxembourg, Poland, Romania, Spain, or the UK. This is not a remote position.

Company

hirify.global develops large-scale technology and customer-facing products, including AI- and ML-powered services, retail search, operations solutions, and recommendation systems.

What you will do

• Develop and optimize machine learning models for production deployment at massive scale.
• Build and maintain ML pipelines and infrastructure for model training and inference.
• Design data processing and feature engineering solutions.
• Create ML evaluation frameworks and monitoring systems.
• Improve model performance, latency, and resource utilization.
• Collaborate with product managers, ML scientists, and engineering teams to integrate ML solutions into product features and platforms.

Requirements

• Graduated within the last 24 months or expect to graduate within the next 6 months with a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Strong knowledge of data structures, algorithms, object-oriented design, and software engineering principles.
• Proficiency in at least one of C, C++, Java, Python, or Rust.
• Understanding of fundamental ML concepts and common frameworks, including PyTorch or TensorFlow.
• Fluency in spoken and written English.

Nice to have

• Internship or project experience in ML or AI development.
• Experience with NLP, computer vision, recommendation systems, MLOps, or deep learning model optimization.
• Familiarity with distributed systems, cloud computing, large-scale data processing, ML evaluation metrics, or A/B testing.
• Strong mathematical and statistical foundations and the ability to communicate technical concepts effectively.

Culture & Benefits

• Work on AI and ML products serving millions of customers worldwide.
• Collaborate with ML scientists, senior engineers, product managers, and cross-functional teams.
• Learn from experienced ML engineers and scientists in an innovation-driven environment.
• Applicants are reviewed on a rolling basis and matched with teams based on experience, location, and availability preferences.

Hiring process

• Applications are reviewed on a rolling basis.
• Applicants may be matched to suitable teams before interviews.
• Candidates remain under consideration until team matching or recruiting is complete.