Machine Learning Engineer - Recommendation Systems

What role you will play in team: You will join our team to design, develop and deploy machine learning models for recommendation systems.

What you will do: You will build and refine recommendation algorithms that enhance user experience and drive engagement.

Key responsibility:

• Design, develop, and deploy machine learning models for recommendation systems.
• Evaluate model performance using appropriate metrics.
• Collaborate with product and engineering teams to integrate models into the platform.
• Experiment with various recommendation algorithms and techniques.
• Stay up-to-date on the latest research and advancements in recommendation systems.
• Continuously improve the accuracy and relevance of recommendations.

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 1-3 years of experience in machine learning.
• Proficiency in Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow).
• Experience with collaborative filtering and content-based filtering techniques.
• Understanding of A/B testing and model evaluation metrics.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A fast-paced and dynamic work environment.
• The chance to work on a product that impacts millions of users.

A Day in the Life: Your daily activities will include working on large datasets, developing and refining recommendation algorithms, collaborating with other engineers and product managers, and conducting A/B testing.