Research Engineer

Fairtiq
FAIRTIQ - Public transport made easy

Job details

  • Full-time
  • map markerLisbon, PT
  • EUR30.000 - 45.000
    Gross Anual Salary
  • cardRequires Work Permit
    Requires that you're a citizen or have a valid work permit / visa sponsorship to work in the country in which this position is based.
  • routeIntermediate
  • routeRequired language: English
  • Data Scientist
  • tagMust Have: Java, Machine Learning, PythonOther Required: Algorithms, Big Data, Data Science, Data-analysis, R&D

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Intro

As a Research Machine Learning Engineer you have the opportunity to contribute to our core technology that transforms mobile localization data to the public transport trips. You will build prototypes as well as contribute directly to the production code, thinking about scalability, performance and resilience. 
 
As part of an international 30 people startup, you’ll design, implement and test new features and improve the existing code. We are looking for a person who can work effectively as a part of an agile cross-functional team of backend and mobile engineers.

Role Responsibilities

  • Improve our core technology that transforms mobile sensor data into public transport journeys
  • Stay up to date with the relevant methods & technologies in the field
  • Oversee the data collection and labelling, including designing cost-effective labelling for Machine Learning systems
  • Write clean, simple, testable, scalable and efficient code
  • Monitor production systems

Main requirements

Who we're looking for
 
  • BSc or MSc in Computer Science, with a focus on Machine Learning/AI
  • At least 3-5 years work experience
  • Strong algorithmic skills
  • Strong coding skills in Python and/or Java.
  • Experience in building and maintaining Machine Learning systems (e.g. deploying machine learning models)
  • Excellent English writing and verbal language skills

Benefits & Perks

At FAIRTIQ, we believe that our employees are our biggest asset. A healthy firm culture, based on respect, inclusion, diversity and individual empowerment is the key to our success story. We offer:

  • Dynamic and international work environment
  • Chance to be part of a fast-growing, international startup
  • Budget and support for self-improvement
  • Flexible working hours

Apply now

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