Junior Machine Learning Engineer Intern

Responsibilities

• Assist in the design, development, and deployment of machine learning models and algorithms.
• Work closely with senior engineers to preprocess, clean, and analyze large datasets to derive meaningful patterns and features.
• Implement and experiment with various machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning.
• Collaborate with cross-functional teams to integrate machine learning solutions into our applications and systems.
• Participate in the evaluation and optimization of model performance and scalability.
• Keep abreast of the latest advancements in machine learning and AI research to contribute to continuous improvement.
• Contribute to the documentation of machine learning processes, experiments, and results.
• Support the team in troubleshooting and debugging machine learning models during development and deployment.

Requirements

• Students working towards their bachelor's degree in computer science, Data Science, Electrical Engineering, or a related field.
• Solid understanding of machine learning fundamentals, algorithms, and statistical concepts.
• Proficiency in programming languages such as Python or R, and familiarity with data manipulation and analysis libraries (e.g., NumPy, Pandas).
• Exposure to machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.
• Basic knowledge of data visualization techniques to communicate insights effectively.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Minimum experience

No prior professional experience required, though relevant internships or personal projects are beneficial.

Preferred experience

• Hands-on experience with machine learning projects, either through coursework or personal projects.
• Familiarity with neural networks and deep learning architectures.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for machine learning deployment.
• Knowledge of natural language processing (NLP) or computer vision techniques.
• Understanding of version control systems, such as Git.
• Enthusiasm for continuous learning and a strong desire to grow as a machine learning professional.

Benefits

• Per Diem

Interested? Apply now!

Have questions about our hiring process? Email us at careers@joulea.com.

International applicants are welcome if they are currently eligible to work in the US, such as with OPT EAD, CPT, or in H-1B status.