About the Job
We are Outbrain, a leading technology platform that drives business results by engaging people across the open internet. Outbrain predicts moments of engagement to drive measurable outcomes for advertisers and publishers using AI and machine learning across more than 7,000 online properties globally. Founded in 2006, Outbrain is headquartered in New York with offices in Israel and across the United States, Europe, Asia-Pacific, and South America.
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We have an open application for an Algorithm Engineer.
A Day in the Life:
- Conduct KPI-based research on new and improved existing machine learning models.
- Build, improve, and maintain core components for serving ML-based services.
- Implement and integrate algorithmic features into high-scale production systems.
- Run A/B tests and monitor new features.
- Analyze large datasets to validate various hypotheses.
- Collaborate with other teams (e.g., the AutoML team) to further improve our ML Ops tooling.
What You’ll Bring:
- BSc/MSc in Computer Science, Software, Information Systems Engineering, or a similar field, or equivalent industry experience.
- 4+ years of proven industrial experience as a software engineer (Python/Go/Scala/Java/C++).
- Strong interest in Machine Learning; experience with Recommender Systems is an advantage.
- Excellent communication and interpersonal skills.
- Familiarity with big data technologies such as Kafka, Spark, Hive, Cassandra is a significant advantage.
- Relevant experience in the machine learning industry is highly preferred.
Additional Information:
- We offer a hybrid working model (3 days in the office).
- Expand your skillset with our mentorship program and internal learning tools.
- Enjoy a pet-friendly office, complete with a fully stocked kitchen.
- We are committed to diversity and inclusion at all stages of recruitment and employment.
- Our company culture is welcoming, dynamic, diverse, and driven by top performance.
At Outbrain, trust is one of our core values, and we apply this by fostering open communication and collaboration across global teams. Our engaging environment encourages sharing ideas and allows everyone to have a voice.
Join us and dive into an experience where you can contribute to meaningful work in a supportive community.
