Machine Learning Engineer - Recommendation Systems

What role you will play in team: You will join a team responsible for building and improving recommendation systems to personalize user experience.

What you will do: You'll design, develop, and deploy machine learning models to recommend relevant products or services to users.

Key responsibility:

• Design, develop, and deploy machine learning models for recommendation systems.
• Experiment with different recommendation algorithms (collaborative filtering, content-based filtering).
• Evaluate model performance and iterate on improvements.
• Collaborate with engineers to integrate models into production systems.
• Monitor model performance and address any issues.

Required Qualification and Skills:

• Master's degree in Computer Science or a related field.
• Strong programming skills in Python.
• Experience with machine learning frameworks (TensorFlow, PyTorch).
• Experience with large-scale data processing.
• Excellent communication and collaboration skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional growth.
• Casual and collaborative work environment.
• Health and wellness benefits.
• Employee stock options.

A Day in the Life:A typical day involves model training, algorithm experimentation, and collaboration with engineers to improve user experience through tailored recommendations.