Software Engineer, Machine Learning

Cabify; Madrid; Presencial; EUR 39.000 - 55.000; Jornada completa

Descripción de la vacante

A leading mobility company in Madrid is seeking a passionate Software Engineer, Machine Learning, to architect systems that allow ML capabilities to scale. Responsibilities include collaborating on model development, optimizing model performance, and API creation. Candidates should have a degree in a related field, over 2 years of experience in technical ML roles, and proficiency in Python. This role offers an excellent salary and opportunities for personal development in a collaborative environment.

Servicios

Excellent Salary conditions

Collaborative and innovative environment

Continuous learning and development opportunities

Recharge days (10 Free Fridays annually)

Flexible work environment & hours

Personal development programs

Coursera license for skill development

Formación

• More than 2 years of experience in technical machine learning roles with an emphasis on software engineering.
• Experience with machine learning frameworks and libraries like MLflow, TensorFlow, or PyTorch is a plus.
• Familiarity with cloud platforms (AWS, GCP) and containerization technologies is required.

Responsabilidades

• Collaborate with data scientists to understand needs and assist in machine learning model implementation.
• Architect efficient and scalable systems for complex ML applications.
• Monitor and optimize performance of models in production.

Conocimientos

Proficiency in programming languages such as Python

Strong problem-solving skills

Excellent communication skills

Educación

Degree in Computer Science, Engineering, or a related field

Herramientas

Kubernetes

AWS

Docker

TensorFlow

PyTorch

Descripción del empleo

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go...fancy joining us?

About the position

We are seeking a passionate and skilled Software Engineer, Machine Learning, to join our team. In this role, you will bridge the gap between software engineering and data science, architecting the systems that allow our machine learning capabilities to scale. You will work closely with cross-functional teams to build robust infrastructure and integrate complex ML solutions into our production environment.

Key Responsibilities

• Collaboration in Model Development: Work hand-in-hand with data scientists to understand their needs and assist in the implementation of machine learning models.
• System Architecture & Scalability: Architect efficient and scalable systems that drive complex ML applications. You will move beyond simple model deployment to building the backbone infrastructure that supports high-throughput training and inference.
• Model Optimization: Monitor and optimize the performance of models in production, implementing improvements from a software engineering perspective.
• API Development: Assist in the creation of APIs that facilitate the integration of models into our existing systems, ensuring optimal performance.
• Platform Evolution: Lead technical efforts to improve our ML Platform (Lykeion). You will identify performance bottlenecks, resolve scalability issues, and introduce new technologies (e.g., containerization updates, new CI/CD patterns) to keep our stack modern.
• Effective Communication: Act as a bridge between data scientists and the engineering team, ensuring fluid and effective communication.

Qualifications

• Degree in Computer Science, Engineering, or a related field.
• More than 2 years of experience in technical machine learning roles, with an emphasis on software engineering.
• Proficiency in programming languages such as Python.
• Experience with machine learning frameworks and libraries (e.g., MLflow, TensorFlow, PyTorch) is a plus.
• Familiarity with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes). Experience in using and deploying applications with Kubernetes is required.
• Strong problem-solving skills and ability to work in a team.
• Excellent communication skills to explain complex technical concepts to non-technical audiences.

What We Offer

We’re a company full of motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team.

💶 Excellent Salary conditions: 39K - 55K

💪 A collaborative and innovative environment where your contributions make a real impact

🔝 Opportunities to work on cutting-edge projects and advance your career in machine learning

📚 Continuous learning and development opportunities to enhance your expertise in machine learning

🏝️ Recharge days! (10 Free Fridays annually)

🌍 Our office is located in Madrid

⌚ Flexible work environment & hours

🚀 Personal development programs based on our career paths

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like Women Tech Dating , Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.