Machine Learning Intern

Leverage data science and AI techniques to solve real-world problems.


We are looking for a talented Machine Learning Intern to join our research and development team. As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, implement, and optimize machine learning models and algorithms. This internship offers a unique opportunity to gain hands-on experience in the field of artificial intelligence and contribute to the advancement of our mental health technologies.


  • Collaborate with data scientists and engineers to collect, preprocess, and analyze large datasets.
  • Develop machine learning models and algorithms for predictive analysis, pattern recognition, and natural language processing.
  • Implement and optimize machine learning algorithms using programming languages such as Python or R.
  • Evaluate model performance, identify areas for improvement, and iterate on existing solutions.
  • Collaborate in an agile development environment, participating in sprint planning, code reviews, and research discussions.
  • Stay updated with the latest advancements in machine learning techniques and technologies.


  • Pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Strong programming skills in languages such as Python or R.
  • Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Basic understanding of statistical analysis and data manipulation techniques.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in a team and independently.
  • Eagerness to learn and apply machine learning concepts to real-world projects.


  • Python, R, or other programming languages
  • Machine learning libraries (TensorFlow, PyTorch, scikit-learn)
  • Data preprocessing and feature engineering
  • Statistical analysis
  • Problem-solving
  • Collaboration and communication
  • Attention to detail

Work with us!

We'd love your resume and a brief cover letter detailing your interest in the position and relevant skills. Please send your application to with the role as the subject line!

MYND is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.