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 positionWe are seeking a passionate and skilled Machine Learning Engineer to join our forward-thinking team.
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings. You will work closely with data scientists, data engineers, and software developers to integrate machine learning solutions into our existing systems.
Key Responsibilities- Model Development: Collaborate with data scientists to design and implement models that address business and product needs.
- Model Deployment: Develop and maintain infrastructure for deploying models into production, ensuring scalability and reliability.
- Data Processing: Work with data engineers to ensure data is clean, well-structured, and accessible for model training and evaluation.
- Performance Optimization: Continuously monitor and optimize model performance, implementing improvements as necessary.
- Collaboration: Work closely with cross-functional teams to integrate machine learning solutions into products and services.
- Innovation: Stay up-to-date with the latest advancements in machine learning and apply them to improve our solutions.
- Evolution: Learn about our ML Platform and help the team to keep improving and growing.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience in machine learning or a related field, not focused in the science layer, more on the technical one.
- Proficiency in programming languages such as Python.
- Experience with machine learning frameworks and libraries (e.g., MLflow mainly if possible, but can be TensorFlow, PyTorch).
- Familiarity with cloud platforms (e.g., AWS, GCP) and containerisation technologies (e.g., Docker, Kubernetes).
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
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
⌚ 3 weeks full remote six-monthly
🙌 Regular team events
🚗 Cabify staff free rides
🚀 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.
Join us!
Top Skills
What We Do
Cabify, company that has been a signatory member of the UN Global Compact since 2018, connects private users and companies with the means of transport that best suit their needs. Its main objective is to make cities a better place to live. For this, it seeks to decongest the streets by providing, through technology, a safe and quality transport option. Founded in 2011, in Madrid, Cabify extended, a few months later, to Latin America and is currently present in Argentina, Brazil, Chile, Colombia, Ecuador, Spain, Mexico, Panama, Peru, Uruguay, Portugal and the Dominican Republic. Cabify adapts to the particularities of the almost 100 cities in which it operates. With an almost entirely Latino team, it stands out for betting on local talent, generating jobs in an industry that is being transformed by technology. Cabify, as part of its commitment to be a socially responsible company and in line with the SDGs, is the first MaaS in Latin America and Europe to offset 100% of the CO2 emissions generated by its operation.
