Senior Engineer - Machine Learning

Job Description

ZoomInfo is the premiere provider of GTM solutions for revenue teams at businesses of all sizes. These solutions are built on a solid foundation of curated data on businesses and business professionals. As part of the machine learning and data sciences team, you will work on the machine recognition, prediction, and information processing systems and platforms to organize and extract valuable insights at scale from rich and diverse datasets gathered from first, second, and third party sources.

Our Team Values

• Take pride in our contributions
• Support one another
• Optimize what matters
• Principled execution

Responsibilities:

• Implementation, productionization, deployment, integration, and monitoring of ML models and automated pipelines
• Partner with data scientists to review and co-optimize technical designs and solutions
• Design and review machine learning and data processing code for scale and robustness
• Collaborate with product, engineering, and devops teams to deliver ML solutions end-to-end
• Design and implement infrastructure, tools, utilities, and automated workflows
• Implement ML platform capabilities to streamline all phases of data-centric innovation, including data access and exploration, model development, productionisation, testing, and monitoring of machine learning pipelines
• Evangelize and drive adoption of the ML platform, and strive for operational excellence

Requirements:

• Degree in Computer Science, Electrical Engineering, or other related computational fields and 7+ years of experience working with ML models and deploying them into production
• Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, or other big data systems
• Hands-on experience scaling and taking data science solutions to production
• Experience with deep learning frameworks such as PyTorch, Tensorflow, HuggingFace
• Experience with Scala, Ray, Kubernetes, or Airflow a plus
• Have a data-centric mindset and willingness to validate results
• Strong communication skills, both oral and written, and ability to coordinate complex project execution with cross-functional teams