Source Job

US

  • Lead machine learning models that forecast advertiser outcomes and simulate campaign scenarios.
  • Estimate delivery, reach, and performance under different budgets, bids, audiences, and creative choices.
  • Own technical direction, evaluation standards, and production ML capabilities across advertiser planning.

Machine Learning Statistics Python

9 jobs similar to Staff Machine Learning Engineer, Ads Forecasting & Scenarios

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US

  • Lead the design and evolution of retrieval models for ads candidate generation at Reddit scale.
  • Apply modern deep learning techniques like two-tower architectures, embeddings, and sequence models.
  • Partner with cross-functional teams to integrate retrieval systems across the full ads funnel.

Reddit is a community of communities built on shared interests and passion, hosting open and authentic conversations. With 100,000+ active communities and ~130 million daily active users, it is one of the internet's largest information sources with a flexible, inclusive culture.

US

  • Set technical vision and strategy for foundational model and user understanding roadmap.
  • Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
  • Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.

Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.

$102,200–$140,525/yr
US

  • Develop and deploy advanced machine learning solutions that optimize advertising performance and maximize return on investment.
  • Combine statistical reasoning, optimization techniques, and ML expertise to design, prototype, and test algorithms against historical data.
  • Work with engineers and data teams to implement production-ready, scalable systems that make billions of decisions efficiently.

The company operates a large-scale advertising platform processing millions of requests per second, using machine learning to drive performance and ROI. It fosters a remote-first, collaborative culture focused on innovation, well-being, and continuous learning.

US

  • Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.
  • Create ML data-governance tools that help MLEs discover and reason about signals.
  • Drive complex projects end to end from technical planning through implementation, testing, rollout, and ongoing operation.

Reddit is a community of communities hosting authentic conversations on shared interests. With 100,000+ active communities and about 130 million daily active visitors, it is a top internet information source.

$135,000–$155,000/yr
US Unlimited PTO

  • Develop and deploy machine learning and AI solutions for advertising measurement products, collaborating with cross-functional teams.
  • Take ownership of core advertising measurement products, expanding capabilities and pushing performance boundaries.
  • Explore data, prototype ideas, run experiments, and propose new products or advancements to maximize ROI.

InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering data-driven marketing platforms. With thousands of clients and a team that values innovation, InMarket fosters an AI-forward culture and has won awards for its advertising measurement platform.

$219,989–$320,613/yr
Global

  • Set the technical direction for Quora's home feed recommendation systems and lead high-impact projects across the recommender stack.
  • Drive measurable improvements in user engagement and content quality through well-designed online experiments and end-to-end ML system ownership.
  • Partner with product, data science, and infrastructure teams, while mentoring engineers and raising the bar for modeling rigor and AI-assisted development.

Quora is a privately held company on a mission to grow the world's collective intelligence, operating a global knowledge sharing platform and Poe, a workspace for running multiple AI agents. It has a remote-first culture rooted in transparency, idea-sharing, and experimentation, with passionate, collaborative global teams.

$189,507–$274,604/yr
Global

  • Improve existing machine learning ranking models using core coding skills and ML knowledge.
  • Take end-to-end ownership of machine learning systems from data pipelines to production integration.
  • Identify new opportunities to apply machine learning to different parts of the Quora product.

Quora is a global knowledge sharing platform and Poe, a cloud workspace for AI agents. It is a privately held, remote-first company with a culture rooted in transparency, idea-sharing, and experimentation.

$165,789–$205,915/yr
North America

  • Own high-impact ranking models powering personalized feeds and digest emails.
  • Work across the full ML lifecycle, from data pipelines to production deployment.
  • Collaborate with a distributed engineering team on modern recommendation techniques.

They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.

US

  • Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
  • Lead ML projects from concept to production, improving answer relevance and user experience.
  • Collaborate with Product, Data Science, and Engineering teams to shape technical direction.

The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.