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Requisition ID: JOBREQ-2413509
Senior Big Data & ML Engineer
Tel Aviv, Israel, Full-time
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The opportunity

Aura from Unity, a cutting-edge large-scale mobile platform, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic AI team. The ideal candidate will have a strong background in machine learning, data engineering, and software engineering, and will be responsible for leading the design, development, and deployment of cutting-edge machine learning pipelines and systems.

What you'll be doing

  • System Design and Architecture: Develop and maintain robust, scalable, and efficient ML pipelines including data collection, preprocess, and analyze large datasets to facilitate model training, evaluation and monitoring.
  • Research and Innovation: Stay current with the latest advancements in machine learning and AI, and apply innovative techniques to improve model performance and application.
  • Mentorship and Leadership: Provide technical guidance and mentorship to junior engineers and data scientists, and lead project teams to successful completion.
  • Cross-Functional Collaboration: Work closely with data scientists, software engineers, architects and product managers to integrate machine learning solutions into production systems.

What we're looking for

  • Proficiency in programming languages such as Python or Java/Scala and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
  • Hands on experience in streaming technologies (Kafka, Kinesis, SQS)
  • Expert in big data processing frameworks such as Apache Spark, Trino, Ray, Dask.
  • Data Lake management knowledge: table formats (Iceberg, Delta). Data-warehouses (Redshift, Big Query, Snowflake)
  • MLOps systems - Model registry, Experiment Tracking (MLFlow, W&B), Feature Store management (Feast, Tecton), Workflow management (Kubeflow, Airflow), Serving platform (Seldon Core, KServe, Ray Serve, Sagemaker).
  • Knowledge of microservices architecture and event-driven design.

You might also have

  • Proficiency with cloud platforms such as AWS, Google Cloud Platform, or Azure, and experience with containerization technologies like Docker and Kubernetes.
  • Understanding of statistical modeling, machine learning algorithms, data structures, and data analysis techniques.

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 world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. 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 fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, 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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