Staff Machine Learning Engineer, Ads Intelligence

Pinterest; Palo Alto (CA); Hybrid; USD 208,000 - 365,000; Full time

Job summary

An innovative company seeks a seasoned machine learning expert to join their Ads Intelligence team. This role offers the chance to work on advanced machine learning models that optimize budget allocations and enhance campaign effectiveness. Collaborating with diverse teams, you will drive innovation in advertising technology while embracing a flexible work environment. If you're passionate about leveraging data to create impactful solutions and thrive in a collaborative setting, this opportunity is perfect for you.

Qualifications

• 6+ years of experience in machine learning focused on advertising.
• 2+ years leading projects with strong collaboration skills.

Responsibilities

• Develop machine learning models for budget allocation optimization.
• Design systems for data-driven campaign recommendations.

Skills

Machine Learning

Statistical Methods

Software Engineering

Collaboration Skills

Education

MS or PhD in Computer Science

MS or PhD in Statistics

Tools

Large-scale Online E-commerce Systems

Counterfactual Engine Development

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 the flexibility to do your best work. Creating a career you love? It's possible.

Team and Role Overview:

Within the Ads Intelligence team, we connect the dots between our advertisers' goals and the performance of our ads delivery stack. We empower advertisers and our sales team to make informed decisions regarding campaign setups, budget allocations, and ad optimizations. Our diverse team includes 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:

1. Budget Allocation Optimization: Develop and enhance machine learning models that optimize advertisers' budget allocations across campaigns and channels to maximize ROI and revenue.
2. Campaign Recommendation Systems: Design systems providing data-driven recommendations on campaign settings, including targeting, creatives, and bidding strategies, to improve effectiveness and efficiency.
3. Counterfactual Engine Development: Collaborate 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.
4. Integration and Collaboration: Partner with cross-functional teams to build robust systems that elevate ad intelligence capabilities.
5. Continuous Learning and Improvement: Stay updated on the latest in machine learning and advertising technologies to drive innovation aligned with team goals.

What we're looking for:

• MS or PhD in Computer Science, Statistics, or related field.
• 6+ years of industry experience focusing on machine learning in advertising.
• 2+ years leading projects or teams with strong collaboration and communication skills.
• Proficiency in software engineering with a solid foundation in statistical methods.
• Experience with large-scale online e-commerce systems is a plus.
• Background in computational advertising is preferred but not required.

Workplace and Compensation:

We offer flexible work arrangements with in-office collaboration 1-2 times/month in San Francisco, Palo Alto, or Seattle. This position is not eligible for relocation assistance. The salary range for US-based applicants is $208,145—$364,254 USD, and the role is eligible for equity. Final salary depends on various factors including location, experience, and skills.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer committed to diversity and inclusion. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or genetic information. Support for accommodations during the application process is available upon request.