Unity Principal Machine Learning Engineer 

United States, California, San Francisco 

701642660

What you’ll be doing:

• Lead the design, implementation, and continuous improvement of data pipeline for machine learning that drive our AdTech platform.
• Collaborate with cross-functional teams to understand business needs and translate them into complex data models and algorithms.
• Manage the collection, storage, and processing of large-scale data sets to ensure they are optimized for machine learning.
• Develop and maintain a scalable and reliable data infrastructure that supports real-time and batch data processing.
• Stay abreast of industry trends and advancements in AdTech and machine learning to identify and implement best practices.
• Mentor senior data engineers and scientists, fostering a culture of technical excellence and innovation.
• Ensure data privacy and compliance standards are met in all data engineering and machine learning initiatives.

What we’re looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum of 7 years of experience in data engineering with a focus on machine learning models, preferably in the AdTech industry.
• Proficient in programming languages such as Python, Scala, or Java.
• Extensive experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with deployment of ML models at scale.
• Demonstrated ability to lead projects and collaborate effectively with cross-functional teams.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.

to let us know.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.