AI Machine Learning R&D Engineer
Remote
Full Time
#Corporate
#Technology
#Python
#TensorFlow
#PyTorch
#scikit learn
#NLP
#AWS EC2
#AWS S3
#AWS Sagemaker
#Docker
#Flow
Welocalize acts as a vital global partner, helping brands bridge the gap to international audiences through expert translation, localization, and adaptation services. With a massive network of over 400,000 linguistic resources, we support more than 250 languages. We are currently pushing the boundaries of language services by combining human intelligence with advanced technology to create high-quality training data for machine learning. Our team operates across North America, Europe, and Asia, and we are looking for talented individuals to join us in our mission to connect the world.
What is this role?
We are searching for a Senior AI Machine Learning R&D Engineer to join our team on a full-time basis. This is a remote position available to candidates located anywhere. You will play a key role in designing and implementing machine learning solutions that drive our business forward, taking ownership of projects from the initial concept through to final deployment.
What will you do?
- Design and build machine learning models and algorithms tailored to our localization workflows, including work on machine translation, LLM fine-tuning, and quality assurance.
- Manage the full lifecycle of key projects, ensuring technical requirements are met and that development maintains steady momentum until delivery.
- Deploy and monitor production environments using AWS services like Sagemaker, EC2, and S3, while utilizing Docker for containerization.
What makes you a great fit?
To be successful in this role, you should have a Master’s degree in Computer Science, Data Science, Engineering, or a related field, along with at least 3 years of experience in machine learning engineering. We are looking for someone who is comfortable working in an English-speaking environment and possesses the following qualifications:
- Strong proficiency in writing production-grade Python code.
- Extensive hands-on experience with frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Deep knowledge of NLP techniques and modern machine learning algorithms.
- Experience with AWS infrastructure and ML management tools like ML Flow.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
What's in it for you?
We value our team members and are committed to supporting a healthy work-life balance. As part of our team, you will enjoy the following benefit:
- Remote work flexibility.
Welocalize
18 views
Company Size
1001-5000
Markets
