Machine Learning Engineer, Ad platform at NewsBreak

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising, TechnologyIndustries

Requirements

Bachelor’s degree or higher in Computer Science or a related field
Minimum of 5 years’ experience in development, with in-depth knowledge of machine learning technologies (Recommendation System/Advertising Algorithm/NLP/CV)
At least 3 years specifically dedicated to working on advertising systems
Proven experience in optimizing ad performance by using mature models and new technologies
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

Responsibilities

Mine and analyze vast amounts of data on NewsBreak to guide and optimize product strategies for the in-house advertising platform
Enhance the relevance, user experience, and delivery effectiveness of online ads through technical means to maximize monetization of traffic
Research issues related to retrieving, ranking, and optimization in digital advertising and design solutions to solve them in practice
Design and optimize various models within the ad system, including but not limited to CTR and CVR models, to better serve advertisers’ performance goals

Skills

Key technologies and capabilities for this role

Machine LearningRecommendation SystemsAdvertising AlgorithmsNLPComputer VisionCTR ModelsCVR ModelsData MiningData Analysis

Questions & Answers

Common questions about this position

What is the work location for this Machine Learning Engineer role?

The position is hybrid, based in Mountain View, CA; New York City; or Seattle.

What benefits does NewsBreak offer?

Benefits include 100% coverage for employee health, dental, and vision care, top-tier 401(K) with company matching, paid time off and holidays, FSA, HSA, commuter benefits, and team activity budget.

What are the key requirements and skills for this position?

Candidates need a Bachelor’s degree or higher in Computer Science or related field, minimum 5 years of development experience with in-depth knowledge of machine learning technologies like Recommendation Systems/Advertising Algorithms/NLP/CV, at least 3 years on advertising systems, and strong analytical, problem-solving, communication, teamwork, and project management skills.

What is the salary for this Machine Learning Engineer position?

This information is not specified in the job description.

What qualities make a strong candidate for this role at NewsBreak?

Strong candidates have 5+ years in development with deep ML expertise in recommendation systems, advertising algorithms, NLP, or CV, 3+ years specifically in advertising systems, proven ad optimization experience, passion for emerging tech, and excellent communication, teamwork, problem-solving, and resilience.

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