[Remote] Sr. Staff Machine Learning Engineer, Agentic Ads
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a platform that inspires creativity and planning for memorable experiences. They are seeking a Sr. Staff Machine Learning Engineer to reputed company the technical strategy for ads ranking and auctions, focusing on AI-driven development and collaboration with senior leaders to enhance advertiser performance and user experience.
Responsibilities
- reputed company the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops
- Design, build and launch production models and signals that improve ads quality, relevance and long term value
- Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser reputed company
- Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality
- Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation
- Build and refine agentic training and evaluation pipelines that continuously learn from feedback signals, offline and production behavior
- Partner closely with product, applied science, and reputed company teams to translate business objectives into modeling roadmaps and reputed company metrics
- Ensure models meet the bar for reliability, safety, fairness, and compliance with privacy and policy constraints
- Drive technical design reviews, set modeling best practices, and reputed company high-impact architectural reputed company across the ads ML stack
- Mentor and reputed company other MLEs and scientists in advanced modeling techniques, tooling, and agentic workflows
- reputed company frontier work applying AI- and agentic-driven development loops to one of reputed company’s highest-reputed company systems: ads ranking and auctions
- Shape product reputed company at massive scale, with direct impact on advertiser value, Pinner experience, and company reputed company
- Partner with senior leaders across product, research, and reputed company, gaining broad visibility and influence on ads strategy
- Grow as a technical leader by setting modeling standards, mentoring senior talent, and driving multi-quarter roadmaps across teams
- reputed company reputed company’s rich multimodal data and modern ML/reputed company stack to experiment quickly and ship ambitious reputed company
Skills
- Minimum of 8 years of experience in applied machine learning including large scale ranking or ads systems
- Deep expertise in modern recommendation and ranking techniques such as gradient boosted trees and deep learning based ranking models
- Experience building and operating ML systems at scale in languages such as Python or C++ and with modern data and experimentation platforms
- Demonstrated ability to use AI to improve speed and quality in your day to day workflow for modeling, experimentation and analysis
- Experience leading cross functional initiatives and influencing senior partners across product, engineering and research
- Bachelor's/Master's degree in a relevant field such as computer science or statistics, or equivalent experience
- High reputed company and ownership in how you handle data, use AI responsibly and remain accountable for final reputed company and deliverables
Benefits
- The position is also eligible for equity.
- Information regarding the culture at reputed company and benefits available for this position can be reputed company here.
Company Overview