The opportunityWe are looking for an experienced Senior Data Engineer with a strong background in machine learning and a proven track record in the AdTech sector. In this role, you will be a key contributor to our data engineering efforts. You will join a dedicated team of machine learning engineers to specifically focus on enhancing and scaling our data pipelines for cutting-edge Deep Learning models. This work is crucial for developing and optimizing solutions that drive our AdTech platform and enable the next generation of Machine Learning models for our Ad Business.

What you'll be doing

Design, implement, and continuously improve robust and scalable data pipelines for machine learning, with a particular emphasis on supporting advanced Deep Learning models.

Collaborate closely with machine learning engineers, data scientists, and other cross-functional teams to understand business requirements and translate them into effective data solutions, models, and algorithms.

Manage the full lifecycle of large-scale data sets, including collection, storage, processing, and optimization for machine learning applications.

Develop and maintain a reliable data infrastructure capable of supporting both real-time and batch data processing.

Stay current with industry trends and advancements in AdTech, data engineering, and machine learning, implementing best practices to elevate our capabilities.

Mentor junior data engineers and contribute to a culture of technical excellence, innovation, and shared learning.

Ensure all data engineering practices and machine learning initiatives adhere to data privacy and compliance standards.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

Minimum of 5 years of experience in data engineering, with a significant focus on building systems and pipelines for machine learning models, preferably in the AdTech industry.

Proficient in programming languages such as Python, Scala, or Java.

Solid experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).

Strong knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch), and practical experience with the deployment of ML models at scale.

Demonstrated ability to own and deliver complex data engineering projects and to collaborate effectively within cross-functional teams.

Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Additional information

Relocation support is not available for this position.

Work visa/immigration sponsorship is not available for this position

Life at UnityUnity [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.

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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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*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.

Gross pay salary$135,800—$203,600 USD