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Requisition ID: JOBREQ-2514146

Senior Machine Learning Engineer

Tel Aviv, Israel, Full-time
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The opportunity

SuperSonic by Unity is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic Data Department. In this role, you'll work with petabyte-scale data to design, develop, and deploy state-of-the-art machine learning pipelines and systems. You'll build robust ML infrastructure using AWS services and orchestrate processes with Apache Airflow. If you're a passionate problem solver with a commitment to excellence and thrive in a collaborative environment, SuperSonic by Unity offers a unique opportunity to make a significant impact. Here, your expertise will drive innovation and help shape the future of machine learning, all while working on groundbreaking projects at a massive scale.

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

Life at Unity

Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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.

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