What are the responsibilities and job description for the Machine Learning Engineer, Recommendation position at newsbreak?
About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about
About the Role
As a Machine Learning Engineer specializing in recommendation systems, you will play a pivotal role in shaping and enhancing our personalized content delivery platform. Your focus will be on developing and optimizing the machine learning components that power the core of our recommendation system, especially on modeling, feature engineering, data pipeline and business metric optimization, ultimately driving user engagement and satisfaction.
Responsibilities:User Behavior Modeling:
- Innovate and advance recommendation models based on user interactions to improve user experience.
- Utilize machine learning algorithms to analyze and predict user preferences, engagement patterns, and content consumption behaviors, incorporating cross-platform data for comprehensive insights.
- 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.
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.
- 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
Annual Base Pay Range
$130,000 - $260,000 USD
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Salary : $130,000 - $260,000