Ventura OS is developing sophisticated backend infrastructure to power its next-generation TV operating system, optimizing the advertising supply chain for better outcomes for advertisers, publishers, and TV viewers. The company is looking for a Data Scientist to drive technical projects and provide leadership in a fast-paced environment, contributing to the development of cutting-edge streaming technology that enables advertisers to leverage data for more relevant and effective ad experiences.
Requirements
- Proven Expertise: You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful AI-based projects.
- Technical Leadership: You will be driving technical projects and providing leadership in a groundbreaking and fast-paced environment. This includes task planning, conducting code reviews, and individual code contributions.
- Data Intuition: You have a strong sense of data intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You can work from first principles and intuition to develop solutions and adapt them to a unique environment.
- Versatile Expertise: You are a jack-of-all-trades and master of some in the field of AI. Ideally, you have 5+ years of experience working with AI-related research and applications.
- Innovative Application: You have a track record of turning the latest AI publications into solutions for real-world problems or ideas for novel product creation. You stay up to date with the latest advancements in AI.
- Technical Proficiency: You have strong programming and big data processing skills, with experience in making machine learning or data mining algorithms work on massive amounts of data.
- Deep expertise and extensive hands-on experience in some of the following areas is a plus: Recommendation Systems, Natural Language Processing, Search, Information Retrieval, Large Language Models, Deep Learning, Generative AI technologies, Large-scale data mining
Responsibilities
- Driving technical projects and providing leadership in a groundbreaking and fast-paced environment.
- Task planning, conducting code reviews, and individual code contributions.
- Working from first principles and intuition to develop solutions and adapt them to a unique environment.
- Getting ML models production ready.
- Working with the team to get code/model up and running into production.
- Turning the latest AI publications into solutions for real-world problems or ideas for novel product creation.
- Making machine learning or data mining algorithms work on massive amounts of data.
Other
- Product Focus: You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making. You can pitch your ideas to different audiences at all levels.
- Start-up Mentality: You are accustomed to start-up culture. You embrace risks, make smart investments, and stay agile when priorities shift.
- Collaborative Confidence: You work with confidence and without ego. Our research data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your teammates.
- Diversity and Inclusion: You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. You welcome ideas that are different from your own and are skilled at finding and building from common ground.
- Innovative Thinking: You are a creative thinker, not bound by "the way things have always been done." What you know is less important than how well you learn and innovate. We don't need research data scientists who know all the answers; we need research data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked.
