Senior Data Engineer (Machine Learning)

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

The opportunity
We are looking for an experienced Senior Data Engineer with a strong background in machine learning and a proven track record in the AdTech 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 youll 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 were looking for

Bachelors or Masters 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 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 1000 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 you have a disability that means 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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Required Experience:

Senior IC

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 this role you will be a key contributor to our data engineering efforts. You will join a dedicated team of machine learning engineers to specifi...

What youll 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 were looking for

Bachelors or Masters 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