Senior Machine Learning Engineer: ML Recall

Jobgether; Madrid; Presencial; EUR 68.172 - 102.258; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited vacation policy

Home office stipend

Company-provided Apple laptop

Annual learning and development budget

Paid maternity and paternity leave

Stock options

Descripción de la vacante

A leading ecommerce company is seeking a Machine Learning Engineer to develop and optimize systems for search and discovery. You will be instrumental in building machine learning models, particularly in NLP, utilizing transformer architectures. The role offers fully remote work, unlimited vacation, and a competitive salary package ranging from $80,000 to $120,000 USD based on experience. Join a collaborative environment focused on impactful AI-driven solutions.

Formación

• 3+ years of experience in applied machine learning.
• Strong expertise in transformer-based NLP models.
• Advanced Python skills and deep learning experience.

Responsabilidades

• Design and deploy machine learning systems for search and discovery.
• Develop ML models using transformer architectures.
• Collaborate with engineering teams for model integration.

Conocimientos

NLP expertise

Deep learning frameworks (PyTorch)

SQL (e.g., SparkSQL, MySQL)

Problem-solving

Collaboration skills

Descripción del empleo

This role sits at the core of a next-generation ecommerce search and discovery platform that operates at massive global scale. You will be responsible for building and optimizing machine learning systems that directly impact relevance, recall, and business-critical outcomes such as conversion and revenue. Working on transformer-based and multimodal models, you will help shape how users discover products across search, recommendations, and visual shopping experiences. The environment is highly technical and innovation-driven, with a strong emphasis on production-grade ML systems and measurable impact. You will collaborate with engineers across distributed teams to push the boundaries of LLMs, deep learning, and large-scale data systems. This is an opportunity to work on one of the most advanced AI-driven ecommerce search infrastructures in the industry.

Accountabilities

• Design, build, and deploy robust machine learning systems for search and discovery, including NLP, image-based, and multimodal models that improve recall and relevance.
• Develop and optimize ML/DL models using transformer architectures and LLM techniques to enhance system performance and business KPIs.
• Translate research ideas and hypotheses into production-ready engineering solutions that improve search quality, ranking, and user experience.
• Work on large-scale distributed data pipelines and ML workflows using big data technologies to support end-to-end model development and deployment.
• Collaborate closely with cross-functional engineering teams to integrate models into broader platforms and ensure system scalability and reliability.
• Conduct performance optimization and iterative experimentation to continuously improve model efficiency and business impact.

Requirements

• 3+ years of professional experience in applied machine learning with a proven track record of delivering production-grade ML systems.
• Strong expertise in NLP, particularly transformer-based models, along with solid understanding of classical machine learning techniques.
• Advanced Python skills and hands-on experience with deep learning frameworks (PyTorch preferred).
• Strong experience with SQL (e.g., SparkSQL, MySQL or similar) and working knowledge of large-scale data processing systems such as PySpark.
• Ability to translate business problems into data-driven hypotheses and implement scalable engineering solutions with measurable impact.
• Strong problem-solving mindset, proactivity, and ownership-oriented approach to technical challenges.
• Excellent collaboration and communication skills, with the ability to explain complex ML concepts clearly and work effectively in team environments.
• Nice to have: experience with A/B testing, cloud platforms (AWS/GCP/Azure), Rust or C/C++, strong algorithmic thinking, and interest in performance optimization.

Benefits

• Fully remote work setup, allowing you to choose your location.
• Unlimited vacation policy with encouragement to take at least 3 weeks off annually.
• Home office stipend to support your remote work environment.
• Company-provided Apple laptop for all new employees.
• Annual learning and development budget for continuous professional growth.
• Paid maternity and paternity leave for eligible employees.
• Stock options in addition to a competitive base salary.
• Regular team offsites to foster collaboration and connection.
• Opportunity to work with highly skilled peers on impactful, large-scale AI systems.
• Base salary range: $80,000 - $120,000 USD depending on experience and performance.