Machine Learning Engineer, Recommendation
Description For Machine Learning Engineer, Recommendation
NewsBreak, a Series-C unicorn startup and the nation's premier local news app, is seeking a Machine Learning Engineer specializing in recommendation systems to join their team in Mountain View, California. This role offers an exciting opportunity to shape and enhance their personalized content delivery platform, working at the intersection of local news, community engagement, and cutting-edge machine learning technology.
The position requires a blend of technical expertise in machine learning, particularly in recommendation systems, and practical experience in building scalable data pipelines. You'll be responsible for developing and optimizing machine learning components that power their recommendation system, with a focus on modeling, feature engineering, and business metric optimization.
As a Machine Learning Engineer at NewsBreak, you'll work on innovative solutions to analyze user behavior, predict preferences, and enhance content delivery. The role involves collaborating with cross-functional teams, implementing robust data pipelines, and developing sophisticated feature engineering techniques. Your work will directly impact millions of users by improving their experience with local news and community content.
The company offers a competitive compensation package ranging from $130,000 to $260,000, along with comprehensive benefits including full health coverage, 401(k) matching, and various other perks. This is an in-person role at their Mountain View headquarters, requiring 5 days in-office presence.
NewsBreak's mission to bridge local users, content creators, and businesses makes this an impactful role where your work will contribute to fostering safer, more vibrant, and authentically connected communities. If you're passionate about applying machine learning to solve real-world problems and want to be part of a growing unicorn startup that's revolutionizing local news consumption, this role offers an excellent opportunity to make a significant impact.
Responsibilities For Machine Learning Engineer, Recommendation
- 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
- 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
- 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
- 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
Requirements For Machine Learning Engineer, Recommendation
- 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 For Machine Learning Engineer, Recommendation
- 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
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