Staff Machine Learning Engineer, Ads Intelligence

Pinterest; Washington, Seattle (District of Columbia, WA); Hybrid; USD 208,000 - 365,000; Full time

Job summary

An innovative firm is seeking a skilled machine learning engineer to join their Ads Intelligence team. In this role, you will leverage advanced machine learning techniques to optimize advertising campaigns and enhance decision-making processes. Collaborating with a diverse team of experts, you will develop systems that maximize ROI for advertisers while driving growth for the company. With a commitment to inclusivity and creativity, this position offers a unique opportunity to shape the future of advertising technology while working in a flexible environment that values your contributions.

Qualifications

• 6+ years of experience in machine learning applications in advertising.
• Experience leading projects or teams with a focus on collaboration.

Responsibilities

• Develop machine learning models for budget allocation optimization.
• Design campaign recommendation systems based on data-driven insights.

Skills

Machine Learning

Statistical Methods

Software Engineering

Collaboration

Communication

Education

MS or PhD in Computer Science

MS or PhD in Statistics

Tools

E-commerce Systems

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

Within the Ads Intelligence team, we try to connect the dots between the goals of our advertisers and the performance of our ads delivery stack. The team plays a pivotal role in empowering advertisers and our sales team to make informed decisions regarding campaign setups, budget allocations, and ad optimizations. We are a diverse team of machine learning engineers, backend engineers, statisticians, and economists. You'll have the opportunity to apply advanced machine learning techniques to address these challenges and maximize value for both advertisers and Pinterest.

What you'll do:

• Budget Allocation Optimization: Develop and enhance machine learning models that optimize advertisers' budget allocations across various campaigns and channels to maximize ROI for advertisers and revenue for Pinterest.


• Campaign Recommendation Systems: Design systems that provide data-driven recommendations on campaign settings, including targeting, creatives, and bidding strategies, to boost campaign effectiveness and efficiency.


• Counterfactual Engine Development: Work with the Ads Bidding and Ads Marketplace teams to build a counterfactual engine that simulates and predicts ad performance under hypothetical scenarios for informed decision-making.


• Integration and Collaboration: Partner with cross-functional teams, including ML engineers, backend engineers, statisticians, and economists, to build robust systems that elevate ad intelligence capabilities.


• Continuous Learning and Improvement: Stay abreast of the latest developments in machine learning and advertising technologies to persistently drive innovation and improvement aligned with the team's objectives.

What we're looking for:

• MS or PhD degree in Computer Science, Statistics or related field.


• 6+ years of industry experience, with a focus on machine learning applications in advertising.


• 2+ years of experience leading projects or teams, with a strong emphasis on collaboration and communication.


• Proficient in software engineering with a solid foundation in statistical methods.


• Hands-on experience with large-scale online e-commerce systems is a plus.


• Background in computational advertising is preferred, but not required.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.


• This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$208,145—$364,254 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.