Manager, Machine Learning Engineering, Web Ads Ranking

Snap Inc.Los Angeles, CA
$195,000 - $343,000Hybrid

About The Position

Snap Inc. is a technology company focused on improving communication through its camera-centric products. The company operates Snapchat, Bitmoji, and other digital services. Snap Engineering teams develop technically sophisticated products used by millions globally. The company values precision, speed, and privacy. This role is for a Machine Learning Engineering Manager to join the Web Ads Ranking team.

Requirements

  • Bachelor's degree in a related technical field (e.g., computer science) or equivalent years of experience.
  • 8+ years of post-Bachelor's ML industry experience; OR Master's degree + 7 years of post-grad ML experience; OR PhD + 4 years of post-grad ML experience.
  • 1+ year(s) of experience leading machine learning teams focused on ranking or recommendations.
  • Deep understanding of machine learning approaches, algorithms, and their application to recommender, ads, and search systems.
  • Experience utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging.
  • Strong management and mentorship skills, fostering a collaborative and innovative team culture.
  • Excellent verbal and written communication skills, with meticulous attention to detail.
  • Ability to effectively collaborate with stakeholders at all levels.
  • Proficiency in managing and solving ambiguous problems.

Nice To Haves

  • Experience with real-time recommendation or search ranking systems.
  • Experience with building LLM-based information retrieval or tagging systems.
  • Experience working with distributed systems.
  • Experience working with machine learning, ranking infrastructures, and system designs.
  • Ability to proactively learn new concepts and apply them at work.
  • Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.

Responsibilities

  • Lead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems for Snapchat ads.
  • Collaborate with broad product teams to define system architecture and vision, and grow the team.
  • Build the evaluation framework for rapid iteration and decision-making, defining success metrics with Data Science and Product partners.
  • Build and grow a high-performing team by promoting engineering and ML excellence, developing talent, and shaping Snap’s machine learning strategy.

Benefits

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that let you share in Snap’s long-term success (equity in the form of RSUs)
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