
About DoubleVerify
Ensuring brand safety in digital advertising
Key Highlights
- Public company (NYSE: DV) since April 2021
- Serves over 1,000 clients including Procter & Gamble and Unilever
- Raised over $400 million in funding
- Headquartered in New York City with a global presence
DoubleVerify, headquartered in New York City, is a leading software platform that provides digital media measurement and analytics. The company serves over 1,000 clients, including major brands like Procter & Gamble and Unilever, ensuring their ads are viewable and fraud-free. DoubleVerify went publ...
🎁 Benefits
DoubleVerify offers competitive salaries, equity options, generous PTO, flexible remote work policies, and comprehensive health benefits....
🌟 Culture
DoubleVerify fosters a data-driven culture with a strong emphasis on integrity and transparency in digital advertising. The company values innovation ...
Skills & Technologies
Overview
DoubleVerify is seeking a Staff AI Data Engineer to design and implement AI-driven data systems. You'll work with Python and machine learning techniques to optimize large-scale data systems for marketing intelligence. This role requires strong experience in data engineering and AI applications.
Job Description
Who you are
You have extensive experience in data engineering and AI, with a strong focus on building systems that leverage machine learning for real-world applications. Your background includes working with large datasets and optimizing data pipelines to support AI-driven initiatives. You are comfortable with ambiguity and can navigate complex challenges, turning theoretical concepts into practical solutions. You possess strong communication skills, enabling you to articulate technical strategies and trade-offs effectively to both technical and non-technical stakeholders.
You have a solid understanding of data science techniques, particularly in the context of optimizing large language models (LLMs) for specific marketing tasks. Your experience includes model evaluation, performance tuning, and establishing best practices for data quality and observability. You are passionate about mentoring others and raising the bar for AI practices within your organization, fostering a culture of innovation and excellence.
Desirable
Experience with AI-driven automations and decision-making systems is a plus. Familiarity with marketing intelligence and the ability to translate complex data insights into actionable strategies will set you apart. You thrive in collaborative environments and enjoy leading research and development initiatives that push the boundaries of what is possible with AI.
What you'll do
In this role, you will research, design, and architect data systems specifically tailored for AI agents and automations. You will apply cutting-edge AI theories to create large-scale data systems that enhance the capabilities of AI-driven workflows. Your responsibilities will include fine-tuning and optimizing LLMs for various marketing-specific tasks such as attribution insights, anomaly detection, and automated recommendations. You will build end-to-end automations that streamline processes and reduce manual workloads across the organization.
You will also design retrieval, orchestration, and memory layers that enhance the intelligence of AI agents over time. Establishing best practices for data quality and safety will be a key part of your role, as will leading rapid prototyping and experimentation initiatives. You will mentor data scientists and engineers, sharing your expertise and helping to elevate the team's overall capabilities in AI and data engineering.
What we offer
At DoubleVerify, you will be part of a forward-thinking team that is dedicated to transforming marketing intelligence through innovative AI solutions. We offer a collaborative work environment where your contributions will have a direct impact on our clients' success. You will have the opportunity to work with cutting-edge technologies and be at the forefront of AI advancements in the marketing sector. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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