Machine Learning Engineer - Budapest

Curious about what it’s like to work at the world’s number 1 discovery platform as a Machine Learning Engineer? We’re glad you asked!

Gravity R&D (or shortly Gravity) is being acquired by Taboola, the leading content discovery platform of the open web. Our office in Budapest, Hungary is to become Taboola’s R&D hub in Central Europe.

Gravity R&D is a personalization engine provider using machine learning to personalize digital customer experiences for SMEs and enterprises. The Budapest-based company has been focusing on data science since 2009, using machine learning and Big Data analytics to create personalized customer experiences for brands in various industries. 

Gravity’s products help clients deliver better brand experiences, drive revenue growth, and improve customer satisfaction. The company’s personalization solutions can provide 35+ billion personalized recommendations per month.

What are some of the things you do on a day-to-day basis?

• The Deep Learning Team is responsible for researching, developing, testing, maintaining, and operating the deep learning-based recommender module of Gravity R&D. The deep learning module is separated from the core recommender system. Still, the two often work together to provide high-quality recommendations for our customers.
• Occasionally, the team also provides machine learning-related expertise to other teams in the company.
• Developing and maintaining the framework that facilitates our deep learning algorithms.
• Integrating the framework with other systems (e.g. data pipeline of a customer).
• Deploying the deep learning module for new customers.
• Monitoring the performance and the health of the deployed module.
• Executing A/B tests among various algorithms and configurations within the framework and comparing performance with solutions outside the module.
• Improving the existing algorithms by adding new features or speeding up execution.
• Partaking in (mostly applied) research tasks to expand the capabilities of the module.

Career path:

• You’ll gain hands-on experience on how to secure a robust and efficient service in a real-time, high-load environment.
• You’ll also learn about various machine learning models and what it takes to use these models in production in a cost-efficient way.
• You’ll learn about how recommender systems and algorithms work and how these systems determine what the user is interested in based on his browsing behavior.
• You’ll also have the chance to learn various technologies related to big data or deep learning and learn about online evaluation.

Our tech stack:

Python, Java, Theano, Tensorflow, pyTorch, SQL, Clickhouse, CUDA, Kafka

What are the skills a good Machine Learning needs to have? 

• You’ve an MSc degree in computer science with relevant studies (or experience) in machine learning. Since we are hiring at various levels of expertise, exceptional candidates with BSc degrees will also be considered and encouraged to apply.
• Knowledge of Python with the common packages used for data science and machine learning (e.g., numpy, pandas, etc.).
• Knowledge of C++ or Java.
• Familiarity with algorithm theory and algorithm complexity.
• Knowledge of general machine learning.
• Good written and oral English.
• Proactive personality, can-do attitude and eager to learn new things.

It would be great if you also have: 

• You know the basics of deep learning.
• You’re familiar with any deep learning frameworks (extra points if the framework is Theano).
• You’re familiar with the basics of CUDA.
• You know of recommender systems and machine learning algorithms for recommendations.
• You know any of the following technologies: MySQL, ClickHouse, Kafka.
• You’ve good Hungarian skills in writing and speaking.
• You are an EU citizen.

Why Taboola?

• Taboola is the world’s leading recommendation platform reaching over 500 million daily active users. We’re growing rapidly, and have recently gone public on the NASDAQ.
• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• If you ask our employees what they love about Taboola they will tell you that here, they are able to discover their best professional selves, explore where they can grow to, and learn from and together with smart and talented people.
• At Taboola, we pride ourselves in making an impact on how people consume content across the world, a culture of transparency, passion, and a diverse, inclusive and friendly work environment. 
• You can get to know us more by visiting our company website, careers site, Taboola Life blog and social media channels; Facebook, Instagram, Twitter and LinkedIn 

Want to learn more about us, you’re welcome to watch the latest News article about Taboola

Sounds good, how do I apply?

It’s easy, submit your CV by clicking the “Apply” button below. 

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.