Machine Learning Engineer, Brand Ads

Responsibilities

Team Overview
Brands come to our platform for scale and for a content experience where their message lands in a way that feels native and relevant. Our team builds the delivery and inventory systems that make that possible for guaranteed delivery products, owning the path from inventory forecasting and allocation through pacing, traffic strategy, delivery quality, and brand safety. We partner closely with Product, Strategy, Data Science, and cross-functional engineering teams to turn open-ended business opportunities into capabilities that scale.

What You'll Build
You will help build and evolve the systems behind a fast-growing portfolio of brand advertising products:
- Guaranteed delivery and pacing: the systems that meet committed delivery goals reliably while keeping delivery quality high.
- Inventory forecasting and allocation: the supply layer that predicts available inventory, allocates it across demand, improves utilization, and reduces waste.
- Traffic strategy and brand safety: the logic that arbitrates traffic between reservation and auction demand, and the controls that protect every impression.

Responsibilities
- Build and optimize the delivery stack across pacing, allocation, traffic strategy, and delivery controls.
- Drive products from concept to launch with Product, Strategy, and cross-functional partners.
- Turn business goals into scalable delivery strategies and system designs.
- Own technical design, implementation, experimentation, launch, and iteration.
- Use data and experiments to diagnose problems and drive fast iteration.

Why Join Us
You will work on a brand-facing business where your systems map directly to revenue and to the experience of major advertisers, solving real inventory and delivery problems at global scale and influencing both product and technical direction. If you are drawn to forecasting and allocation problems, pacing and delivery systems, and the kind of role where you own a product end to end, we would like to talk to you.

Qualifications

Minimum Qualifications:
- BS/MS in Computer Science, a related field, or equivalent practical experience.
- Strong coding, debugging, and system design fundamentals.
- Proficiency in Go, C/C++, Java, Python, or similar languages.
- Comfort with ambiguity and the judgment to make clear engineering trade-offs.
- Strong cross-functional communication and collaboration skills.
- Experience with large-scale backend, recommendation, or advertising systems.

Preferred Qualifications:
- Hands-on ads delivery experience in pacing, allocation, forecasting, traffic strategy, or guaranteed delivery, and familiarity with reservation or guaranteed product models.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $316800 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.