Machine Learning Engineer, Video recommendation (Experienced hire)

Data Pipeline Development:

• Design, implement, and optimize robust and scalable data pipelines to collect, process, and store large volumes of user behavior data.
• Collaborate with cross-functional teams to ensure seamless integration of data pipelines with existing systems and databases.

Feature Engineering:

• Develop and implement innovative feature engineering techniques to extract meaningful insights from raw data.
• Work closely with data scientists and other engineering teams to identify and create relevant features that improve the performance of our recommendation models.

User Behavior Modeling:

• Build sophisticated user behavior models based on user interactions with video content.
• Utilize machine learning algorithms to analyze and predict user preferences, engagement patterns, and content consumption behaviors.
• Optimize and fine-tune algorithms for improved accuracy, relevance, and user experience.
• Proactively identify and address any issues related to data quality, model drift, or system performance.

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• Minimum of 3 years’ industry experience in development, with in-depth knowledge of machine learning technologies (with a focus on recommendation system)
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and tools for data processing (e.g., Apache Spark).
• A strong passion for emerging technologies and a proven track record in analytical and problem-solving skills.
• Excellent communication, teamwork, and project management skills are highly valued.
• Resilience and determination to elevate our business to new heights.

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget