Senior Software Engineer, Machine Learning (Ads)

TL;DR

Senior Software Engineer, Machine Learning (Ads) (ML/Python): Building and scaling ML capabilities for ads measurement, targeting, and delivery ranking with an accent on ad relevance and revenue optimization. Focus on developing identity graphs, optimizing ranking models for various campaign objectives, and scaling ML infrastructure for low-latency decision-making.

Location: San Francisco Bay Area

Salary: $220,000 – $247,000 base + equity

Company

hirify.global is a multiplatform communication service used by over 200 million people to deepen friendships around games and shared interests.

What you will do

• Design, develop, and deploy machine learning models for ads targeting and ranking.
• Create sophisticated ML solutions, such as identity graphs, to enhance ad targeting.
• Build and optimize ranking models to serve the most effective ads based on campaign objectives like app installs and link clicks.
• Leverage on-platform and off-platform signals to improve ad targeting and effectiveness.
• Collaborate cross-functionally with product, engineering, and business teams to execute the Ads ML roadmap.
• Scale ML infrastructure to support high concurrency while ensuring low-latency decision-making.

Requirements

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• 3+ years of experience specifically in Ads ML (ranking, personalization, optimization, or measurement).
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with applied deep learning, specifically transformers and embedding models.
• Proven track record of designing and scaling ML-driven ad systems in real-world applications.
• Experience with real-time ML inference, A/B testing, and optimization frameworks.

Nice to have

• Strong understanding of performance advertising and its impact on revenue and advertiser retention.
• Knowledge of ad tech industry standards including retrieval, ranking, pacing, and auctions.
• Experience with large-scale recommendation systems.
• Experience with large-scale data infrastructure and distributed computing.

Culture & Benefits

• Opportunity to work on an early-stage Ads ML platform with direct business impact.
• Competitive compensation package including base salary, equity, and benefits.
• Inclusive work environment with a commitment to providing reasonable accommodations during the hiring process.
• Mission-driven culture focused on the future of gaming and social connection.