We're a small, high-impact team building the next-generation TV operating system. Our flexible structure gives engineers direct influence over product direction—an opportunity rarely found in larger companies.
Our innovative approach to the CTV industry optimizes the advertising supply chain, creating better outcomes for advertisers, publishers, and TV viewers alike. As part of our Ventura OS project, we're developing sophisticated backend infrastructure to power our platform, with a strong emphasis on quality at scale.
We believe culture matters. We foster an environment where engineers thrive through collaboration, innovation, and continuous learning. Our teams build cutting-edge streaming technology that enables advertisers to leverage data for more relevant and effective ad experiences—while improving efficiency across the entire supply chain ecosystem.
Who we are looking for:
We are looking for an experienced Applied Scientist join Ventura OS who brings:
- 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. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing.
- 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.
- 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.
What you bring to the Ventura Team:
- 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. You may have an advanced degree in a CS/AI/ECE field, but it’s not a strict requirement. What and how you can contribute is what’s most important to us.
- 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.
- Agile Collaboration: You are comfortable working on an agile, distributed team spanning multiple time zones and continents.
- Effective Communication: You can communicate effectively across both technical and non-technical audiences.
- 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.
- Product focus: You know how to get your ML models production ready. You know how to work with your team to get your code/model up and running into production.
- Specialized Knowledge: 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
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.
[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
The Trade Desk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Trade Desk and has not been reviewed or approved by The Trade Desk.
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Affordable Benefits — Healthcare premiums are often paid in full for employees and dependents, reducing out-of-pocket costs. Coverage includes medical, dental, and vision alongside mental health and wellness support.
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Equity Value & Accessibility — Packages commonly include new-hire stock grants, a generous Employee Stock Purchase Plan, and equity refreshers tied to performance. Feedback suggests equity meaningfully boosts total compensation alongside base pay and bonuses.
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Leave & Time Off Breadth — Generous PTO, paid holidays, paid sick time, and sabbaticals are available. Paid parental leave and extensive family-planning support broaden time-off and caregiving coverage.
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What We Do
The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. Our mission is to transform media for the benefit of humankind. Our media-buying platform helps brands deliver a more insightful and relevant ad experience for consumers — and sets a new standard for reach, accuracy, and transparency.
Why Work With Us
With up to 11 million queries per second and SLAs in the milliseconds, we’re tackling data and software challenges at massive scale. While we’re growing fast, investing in our value based company culture remains one of our top priorities. If you’re talented, driven, and hungry to bring something entirely new and wildly ambitious, let's talk.
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