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Unity Senior Machine Learning Engineer 
Israel, Tel-Aviv District, Tel-Aviv 
546416910

14.04.2025
What you'll be doing
  • End-to-End Project Ownership: Take charge of feature design from concept through to deployment, ensuring robust, scalable solutions in a complex and dynamic environment.
  • Pipeline & Infrastructure Development: Architect and implement advanced machine learning pipelines that efficiently manage and process massive data volumes.
  • Collaboration & Teamwork: Embrace a team-first mindset—"there is no I in team"—actively supporting your peers while continuously learning and striving for excellence.
  • Problem Solving: Utilize your analytical skills to navigate technical challenges and deliver high-quality results on schedule, all while taking full ownership of your projects.
What we're looking for
  • 4+ years as a Machine Learning Engineer.
  • 6+ years of programming experience in Python, Java, or Scala.
  • 4+ years of experience with AWS and general DevOps practices.
  • Deep understanding of distributed systems, object-oriented programming, and design patterns.
  • Proficiency with distributed compute frameworks such as Spark, Dask, or Ray.
  • Hands-on expertise in designing, training, and deploying machine learning models.
  • Proven experience in building data pipelines using Apache Airflow.
  • Familiarity with MLOps practices and open source ML libraries (e.g., MLflow, CatBoost, LightGBM, XGBoost, scikit-learn, NumPy, Pandas).
  • Hands-on experience with microservices architecture, cloud technologies, and containerization tools like Docker and Kubernetes.
You might also have
  • Bachelor's or Master's degree in Computer Science or a related field is advantageous.
Additional information
  • Relocation support is not available for this position.
  • Work visa/immigration sponsorship is not available for this position

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.