Full Stack Engineer with a Passion for Machine Learning

5 days ago


Seattle, Washington, United States Moloco Full time
About Us:
Moloco is a cutting-edge machine learning company empowering organizations to grow and unlock the full value of their unique first-party data. We enable businesses to elevate their performance advertising capabilities, leveraging innovative technologies to drive scalable growth. Our mission is to empower businesses of all sizes to grow through operational machine learning.

We are proud to be recognized as one of the top 10% of the Inc. 5000 fastest-growing private companies for 2023, receiving the Stratus Award for Cloud Computing in 2023, and Google's Cloud DevOps Dreamers Award in 2023. Our commitment to diversity and inclusion has earned us a certified Great Place to Work status in 2024.

The Opportunity:
Drive innovation in our Commerce Media (MCM) retrieval and recommendation platforms, setting the technical vision and roadmap. Design and implement cutting-edge retrieval techniques like inverted indexes, vector databases, and approximate nearest neighbor search. Develop efficient data ingestion pipelines and indexing/serving layers for large-scale datasets. Collaborate with machine learning engineers and data scientists to integrate retrieval systems into ranking and recommendation workflows.

Requirements:
  • 6+ years of experience building scalable and performant distributed systems, with a focus on information retrieval technologies.
  • Strong background in system design, from requirements gathering to production implementation and monitoring.
  • Expertise in modern programming languages (e.g., Java, C#, Go, C++) and cloud/big data platforms (AWS, GCP, Beam, Spark).
  • Experience with large-scale data processing pipelines, database schema design, and integration testing.
  • Proven ability to lead and mentor engineering teams, fostering an environment of continuous learning and growth.
  • Outstanding problem-solving skills and a passion for delivering high-quality, innovative solutions.
  • Bachelor's degree or above in Computer Science or a related technical field (Master's preferred).


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