Machine Learning Engineer, NewsBreak

Recommendation

$125-260k

Tensorflow
Spark
PyTorch
Mid and Senior level
San Francisco Bay Area

4+ days a week in office (Mountain View, CA)

NewsBreak

Local breaking news app

Open for applications

NewsBreak

Local breaking news app

201-500 employees

B2CArtificial IntelligencePublishingDigital MediaMedia

Open for applications

$125-260k

Tensorflow
Spark
PyTorch
Mid and Senior level
San Francisco Bay Area

4+ days a week in office (Mountain View, CA)

201-500 employees

B2CArtificial IntelligencePublishingDigital MediaMedia

Company mission

To connect and empower local users, local content creators, and local businesses at scale, with the goal of helping people everywhere live safer, more vibrant, more truly connected lives.

Role

Who you are

  • 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

What the job involves

  • 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
  • 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

Our take

News aggregation apps often focus on big global stories, but local news can easily get buried. NewsBreak exists to change this situation, using an AI-powered aggregator to connect readers with content creators who report on matters a little closer to home.

NewsBreak stands out with its focus on local news, which is beneficial for users who are looking for more relevant content than can be served by national and global publishers, and with smaller scale press companies which have been suffering financially for decades.

This focus seems to have paid off: NewsBreak has over 50 million users across the US and its app has topped the US Apple App Store and Google Play repeatedly. If uptake continues as it has to date, the company stands to grow substantially while helping reinvigorate a struggling and vital industry.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

10% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Jan 2021

$115m

SERIES C

Sep 2019

$14.8m

SERIES B

Total funding: $139.8m

Company benefits

  • Work from home opportunities
  • Health, dental, and vision care for you and your family
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • Paid parental leave
  • FSA and commuter benefit programs
  • Team activity budget

Company values

  • Results matter
  • Growth mindset
  • Strive for excellence
  • Fight as one
  • User obsession
  • Strategic, long-term thinking

Company HQ

Old Mountain View, Mountain View, CA

Leadership

Having undertaken a PhD at the University at Buffalo, Jeff spent over 7 years at Yahoo!, prior to founding Yidianzixun, where he worked as CEO. He left this role in April 2015 to found NewsBreak, serving as CEO since.

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