Machine Learning Engineer

Paidwork is a global freelance marketplace opportunity for people who want to earn money just by completing simple tasks, from home, on their personal devices. Over 15 million people worldwide have chosen Paidwork to increase their income. We have successfully provided additional source of funds in almost every place on Earth. With 5 different methods of earning money online, Paidwork provides additional workload to people anytime and anywhere.

In its niche and earning segment, Paidwork is an absolute leader in the number of monetizations available for earning money. By granting possibility to acquire funds on every device with internet connection, Paidwork helps all people in reaching their financial goals.

To keep up with our rapid growth in the new markets, Paidwork is looking for experienced and motivated individuals to join our expanding team.

Job description:

Model Design

  • Developing, implementing and evaluating machine and deep learning models

  • Selection of appropriate ML algorithms and frameworks tailored to specific business challenges

Data Analysis

  • Examining and analyzing data to prepare it for model training

  • Selecting appropriate features and variables for ML models

Creating Prototypes

  • Implementation of model prototypes to test their effectiveness

  • Iteratively improve models based on test results

Integration with Systems

  • Integration of models with existing systems and applications

  • Collaboration with the programming team in the integration process

Testing and Optimization

  • Conducting model tests and optimizing parameters to improve their performance

  • Monitor and maintain high quality ML models

Team Collaboration

  • Active cooperation with the scientific, programming and business teams

  • Participation in design and sprint meetings


  • Higher education related to computer science, artificial intelligence or data science

  • Experience working as a Machine Learning Engineer or similar role

  • Knowledge of machine learning tools and frameworks such as PyTorch

  • Programming skills, preferred knowledge of Python, R

  • Understanding deep machine learning and neural networks

Additional Advantages:

  • Experience in designing and implementing advanced ML models

  • Knowledge of data visualization tools and model results

  • Interest in trends and news in the field of ML

  • Portfolio of machine learning projects

We offer:

  • Flexible working hours, 100% remotely

  • A young and ambitious team, support at the start

How to Apply:

If you are interested in participating in our internships, please send your CV. Recruitment is carried out by inviting candidates who are interested in development within our company and the possibility of gaining employment there for an interview.

Join our team and develop in an environment that focuses on innovation and excellence!

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