Machine Learning Engineer, Recommendation at NewsBreak

Mountain View, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, MediaIndustries

Requirements

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

Responsibilities

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
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 that improve the performance of our recommendation models

Skills

Machine Learning

Recommendation Systems

Feature Engineering

Data Pipelines

User Behavior Modeling

Algorithm Optimization

Model Fine-tuning

Data Quality

NewsBreak

Digital news aggregation and distribution platform

About NewsBreak

NewsBreak is a digital platform that provides a variety of news articles and stories to its users. It aggregates news from multiple sources, including independent contributors, and presents it in a user-friendly format. The platform covers a wide range of topics, including local news, global events, lifestyle, and entertainment, which helps it appeal to a diverse audience. Unlike traditional news outlets, NewsBreak focuses on content aggregation and distribution, allowing it to quickly adapt to the interests of its users. The company primarily generates revenue through advertising, leveraging its large user base to attract advertisers, and may also partner with news providers and content creators to enhance its offerings. The goal of NewsBreak is to deliver a comprehensive news experience that keeps users informed about various topics while maintaining a broad reach in the competitive news and media industry.

Mountain View, CaliforniaHeadquarters

2015Year Founded

$136MTotal Funding

SERIES_CCompany Stage

Consumer Goods, EntertainmentIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Sick Leave

Paid Holidays

Paid Parental Leave

Health Savings Account/Flexible Spending Account

Commuter Benefits

Team Activity Budget

Risks

Emerging local news platforms using AI could threaten NewsBreak's market share.

Rise of misinformation poses a risk to NewsBreak's reputation and user trust.

Increasing use of ad-blockers may reduce effectiveness of NewsBreak's advertising revenue.

Differentiation

NewsBreak focuses on hyper-local content, enhancing user engagement and retention.

The platform's Contributor Network provides local news coverage in underrepresented communities.

NewsBreak is the first app IAB Tech Lab Open Measurement certified using Prebid integration.

Upsides

Expansion into video advertising aligns with rising video content consumption trends.

AI-driven content personalization can enhance user experience and engagement.

Mobile-first strategy optimization is crucial as mobile traffic dominates global website visits.

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