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Machine Learning Engineer, Monetization Engineering
Lumen Dynamics · San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US · Posted 33d ago
About the role
About Lumen Dynamics: 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 Lumen Dynamics, 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. At Lumen Dynamics, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . With more than 600 million users around the world and 300 billion ideas saved, Lumen Dynamics Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Lumen Dynamics, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. What you’ll do: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Lumen Dynamics Partner closely with teams across Lumen Dynamics to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keep up with industry trends in recommendation systems Leverage LLMs to enhance content understanding What we’re looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems Nice to have: Publications at top ML conferences Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration Expertise in scalable realtime systems that process stream data Passion for applied ML and the Lumen Dynamics product Background in computational advertising 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 Lumen Dynamics 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 Lumen Dynamics and benefits available for this position can be found here . US based applicants only $163,418 — $285,982 USD Our Commitment to Inclusion: Lumen Dynamics 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 complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
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Responsibilities
- ▸Build cutting edge ML technology for personalization
- ▸Experiment and improve ML models for product surfaces
- ▸Improve candidate retrieval using data-driven methods
- ▸Leverage LLMs to enhance content
Must-have skills
- ▸machine learning
- ▸deep learning
- ▸data processing pipelines
- ▸large scale machine learning systems
- ▸big data technologies
- ▸recommender systems
- ▸ads ranking
- ▸retrieval
- ▸targeting
- ▸marketplace systems
Nice-to-have skills
- ▸hadoop
- ▸spark
- ▸kafka
- ▸flink
- ▸ms or phd
- ▸ai coding assistants
- ▸llm productivity tools
FAQ
Is the Machine Learning Engineer, Monetization Engineering role at Lumen Dynamics remote?+
This Machine Learning Engineer, Monetization Engineering position is listed as unknown (San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US).
What is the salary for the Machine Learning Engineer, Monetization Engineering role at Lumen Dynamics?+
The listing states Estimated 90k-193k USD.
What seniority level is this Machine Learning Engineer, Monetization Engineering role?+
This is a unknown level position.
What skills does the Machine Learning Engineer, Monetization Engineering role require?+
Key requirements include machine learning, deep learning, data processing pipelines, large scale machine learning systems, big data technologies, recommender systems, ads ranking, retrieval.
How do I apply for the Machine Learning Engineer, Monetization Engineering role at Lumen Dynamics?+
Use the "Apply on greenhouse:pinterest" button to open the original posting on greenhouse:pinterest, where you can submit your application directly to Lumen Dynamics.