Machine Learning Engineer

Rocket Lab; Madrid; Presencial; EUR 45.000 - 55.000; Jornada completa

Descripción de la vacante

Rocket Lab, a leading innovative company, is looking for a Machine Learning Engineer to join their team in Madrid. This role involves developing and deploying machine learning models while collaborating with cross-functional teams. You will enjoy a flexible work environment, competitive salary, and opportunities for continuous learning and development.

Servicios

Excellent salary conditions

Recharge days (10 Free Fridays annually)

Flexible work environment & hours

3 weeks full remote six-monthly

Regular team events

Coursera license for continuous learning

Cabify staff free rides

Formación

• 2+ years of experience in machine learning or a related field.
• Proficiency in programming languages such as Python.
• Experience with cloud platforms and containerisation technologies.

Responsabilidades

• Collaborate to design and implement models addressing business needs.
• Develop and maintain infrastructure for deploying models.
• Continuous monitor and optimize model performance.

Conocimientos

Python

Machine Learning Frameworks

Problem-solving

Team Collaboration

Communication

Educación

Bachelor's or Master's degree in Computer Science, Engineering

Herramientas

MLflow

Docker

Kubernetes

AWS

GCP

TensorFlow

PyTorch

Descripción del empleo

Job Description

We 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.

Qualifications

• 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.

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: L3 [Up to 55K gross annually]
• 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 (but we have remote positions).
• 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!