Machine Learning Engineer
3 weeks ago
Bloomberg Media is looking for a dedicated and experienced Machine Learning engineer to join the Media Data Science team. The ideal candidate will have a passion for Machine Learning, building distributed web scale systems and partnering with a variety of stakeholders within our expansive organization including Product, Design, Editorial, Operations, and more
The Media Data Science team provides recommendation systems, machine learning applications and models for the media organization. The team is responsible for utilizing terabytes of click-stream data on Bloomberg's web and mobile applications to provide personalized news and ad recommendations to hundreds of millions of users. We use predictive analytics and user behavior modeling to drive growth of the subscription business. We collaborate with other media teams to increase user engagement and revenue through machine learning and data-driven decision making.
What's in it for you
As a member of the team, you will work closely with a wide range of partners such as Product, Editorial, Ad Operations, Marketing, and other engineering teams. In collaboration with these teams, you will design and implement products and applications to optimize for key metrics such as content engagement, subscription conversions, and ad engagement.
We work collaboratively with our stakeholders to identify key business problems and areas of growth, so we can innovate and build data driven products and applications to solve them. We are looking for someone to build, maintain, and expand our suite of machine learning models and the features of real-time applications. We use Kubernetes and the public cloud (AWS and GCP) to provide other application teams the data they need to deliver engaging user experiences.
Additionally, as an owner of applications that deliver key data and insights to different teams in Bloomberg Media, you will have the opportunity to grow your network and collaborate cross-functionally with others across the organization.
We'll trust you to
- Contribute to the design, implementation, optimization and deployment of Machine Learning models
- Prototype new approaches and production-ize solutions at scale for Bloomberg media's hundreds of millions of users
- Manage and expand multiple DR-compliant software architectures and stateful applications, adhering to strict requirements concerning performance, stability, and availability
- Collaborate with key business partners across product, editorial, and other engineering teams
- 4+ years of industry experience in an Object Oriented Programming language, preferably Python or Java
- Experience with big data systems and technologies such as Spark or Hadoop
- Bachelor's, Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- Subject matter expertise in one or more of the following: Recommender Systems, Ad
- Industry experience working with large data sets, performing feature generation and machine learning model experimentation, implementation and deployment.
- Click Prediction, Natural Language Processing or User Behavior Modeling
- Familiarity with building and maintaining web-scale distributed systems
- Involvement with leading machine learning projects from inception to delivery
- Experience with public cloud platforms like AWS, GCP, and/or Azure
- Strong communication skills and ability to articulate ideas clearly and effectively
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [redacted].
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