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Job Responsibilities:
The AI/ML Engineering Intern assists with the AI/ML team to design, prototype, and deploy machine-learning solutions that enhance Welocalize’s localization and business-workflow products. They contribute code, experiments, and ideas while gaining hands-on experience with cloud infrastructure and production best-practices, supported by dedicated mentors.Key Responsibilities
• Assist in well-defined pieces of work around research & development. Contribute model and algorithm design using state of the art machine learning techniques such as large-language-models (LLM).
• Contribute to rigorous evaluation of ML models and systems. Choose the appropriate metrics for the assigned task.
• Support the setup of reproducible experiments in Python, following best processes for experimental tracking
• Assist with tasks like data cleaning, feature engineering, and building baseline models.
• Contribute to documentation by maintaining concise experiment logs, clear code comments, and short write-ups.
• Help the team stay up to date by reading recent papers or exploring new tools, and summarizing key insights.
• Participate in internal demos, team discussions, and code reviews to gain experience and contribute where possible.
Success Indicators
1. Learning Curve & Initiative: Willingness to learn. Demonstrate skill growth and ownership of small tasks from start to finish.
2. Code Quality & Reproducibility: Well-structured, testable Python code and clearly documented experiments.
3. Collaboration: Timely communication of progress and blockers. Thorough documentation of deliverables.
4. Impactful Contributions: Measurable improvements in model accuracy, runtime efficiency, or tooling.
Minimum Qualifications
• Education: Completed or actively pursuing a BSc or MSc in Computer Science, Data Science, or a related field (final-year undergraduates welcome)
• Technical Foundation: Coursework or personal projects in machine learning or NLP, solid Python fundamentals, hands on experience with LLMs
• Tools & Frameworks: Familiarity with at least one ML library such as scikit-learn, TensorFlow, or PyTorch, experience with Git. Basic knowledge of Docker or cloud services is a plus.
• Soft Skills: Clear written and verbal English communication, curiosity, problem-solving attitude, and willingness to ask questions.
Additional Job Details:
Skills Required
- Completed or actively pursuing a BSc or MSc in Computer Science, Data Science, or related field
- Coursework or personal projects in machine learning or NLP
- Solid Python fundamentals
- Hands-on experience with large language models (LLMs)
- Familiarity with at least one ML library such as scikit-learn, TensorFlow, or PyTorch
- Experience with Git
- Basic knowledge of Docker or cloud services
- Clear written and verbal English communication, curiosity, problem-solving attitude, willingness to ask questions
What We Do
Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 250,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our people work across offices in North America, Europe, and Asia serving our global clients in the markets that matter to them. • Global team of 2,100+ • Offices in North America, Europe and Asia • Quality Certifications: ISO 9001:2015, ISO/IEC 27001:2013, ISO 17100:2015, ISO 13485:2016, ISO 18587:2017 • Accredited professional translators and interpreters for 250+ languages www.welocalize.com
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