WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

THE ROLE

Zeta Global is seeking a talented and versatile Machine Learning Engineer to join our newly formed Exchange team within our highly skilled development office in Copenhagen. This team plays a critical role in developing and deploying Zeta’s next-generation data science and engineering technology, collaborating closely with our global teams in New York, Berlin, and Prague. The Copenhagen office boasts a dynamic and focused environment, comprising a core group of start-up veterans and approximately 30 highly skilled professionals. 

As a member of the Exchange team, you will contribute to the analysis, development and maintenance of our complex AI-powered ad-exchange platform, a sophisticated ecosystem of interconnected systems. This newly established team will tackle a continuous stream of challenging projects originating from across the organization, demanding a high degree of expertise and innovation. We are seeking candidates with a strong foundation in data science, machine learning engineering, and data analysis, and a demonstrated interest in exploring the intersections between these disciplines. As we are building production machine learning systems, experience or interest in software development principles, data engineering, and MLOps practices are highly desirable. 

RESPONSIBILITIES

The ideal candidate for the Machine Learning Engineer position at Zeta Global Copenhagen is a highly motivated and analytical individual with a passion for understanding complex systems. You are adept at using data to identify issues, formulate solutions, and develop robust algorithms and software. You thrive in an environment that offers significant autonomy in planning and executing your work, yet you are also a strong collaborator, readily engaging with fellow developers and international product stakeholders.  

You will be involved in every stage of the development process, from initial brainstorming to ongoing maintenance, with a primary emphasis on analysis, prototyping, and development. Our development process is a dynamic blend of agile and rapid prototyping methodologies, designed to foster a culture of "flexibility under responsibility." We prioritize focused development time and believe in the power of collaborative problem-solving, encouraging team members to both seek and offer assistance readily.  

REQUIREMENTS 

We welcome candidates with a solid background in data analysis or software development, seeking professionals with proven experience rather than recent graduates. Regardless of your background, a crucial element is your intellectual curiosity, self-motivation, and a demonstrable ability to translate real-world challenges into mathematical models, statistical analyses, algorithms, and ultimately, functional code. A strong interest in machine learning and/or the adtech domain, along with its associated technologies, is highly desirable, as well as knowledge of object-oriented programming languages, particularly Scala. 

• A strong academic background in a quantitative field (Computer Science, Mathematics, Physics, or related disciplines). 
• Experience in developing and deploying machine learning models in production. 
• Proficiency in Python or Scala for machine learning and data processing. 
• Strong data analysis and feature engineering skills. 
• Experience with MLOps and building scalable ML pipelines. 

DESIRED QUALIFICATIONS

• Demonstrated experience with Scala or Python for production-ready ML applications. 
• Software engineering experience, including best practices for code optimization and maintainability. 
• Knowledge of distributed computing frameworks like Spark for large-scale data processing. 
• Experience with model optimization techniques and hyperparameter tuning. 
• Familiarity with auction mechanisms and real-time bidding models. 
• Experience in market segmentation and audience targeting. 
• Experience using Airflow for ML pipeline orchestration. 
• AWS cloud expertise, including SageMaker and other ML-related services. 

You approach problems with an analytical mindset and a pragmatic approach to solution development. You are a creative thinker, capable of identifying opportunities and weaknesses in proposed solutions, and constructively contributing your own ideas. You thrive in a dynamic environment, adept at juggling multiple projects and connecting them with underlying data. You recognize that exploring new facets of data often yields greater insights than fine-tuning algorithmic parameters. You are equally comfortable implementing and optimizing solutions, and you are eager to tackle new challenges. 

WHAT WE OFFER

Join our dynamic team, largely comprised of Masters and PhDs in fields like Physics, Math, and Computer Science, and play a key role in shaping the future of our technology. You will collaborate with highly skilled professionals in a stimulating environment that fosters both learning and individual initiative. While we are passionate about exploring cutting-edge technologies and algorithms, we maintain a practical approach to implementing solutions. 

We believe in empowering our employees with autonomy and flexibility. We offer flexible work arrangements, including adjustable office hours and the possibility of occasional remote work, provided commitments are consistently fulfilled. You will have the freedom to select your preferred operating system (Linux, Mac, Windows) and development tools, with the expectation of independent maintenance and troubleshooting. We encourage the introduction of new technologies, contingent upon demonstrating their value and gaining team buy-in. 

Our international presence provides ample opportunities for cross-departmental collaboration and potential career advancement in locations like Berlin, San Francisco or New York. This full-time position (37 hours per week) is based at our Copenhagen office, located at Bernstorffsgade 21. A competitive benefits package is provided, including lunch, telephone/internet, and health insurance. The ideal candidate will be available to start as soon as possible. 

Interested candidates are encouraged to apply via LinkedIn, submitting a cover letter along with their application. Interviews will be scheduled on a continuous basis.

This is a hybrid role based out of Copenhagen.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

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