Full-Time

Machine Learning Engineer Lead

Confirmed live in the last 24 hours

Live Ramp

Live Ramp

1,001-5,000 employees

Data collaboration and identity resolution platform

Data & Analytics

Compensation Overview

$60,000 - $80,000Annually

+ 401K Matching Plan

Senior

San Francisco, CA, USA

Required Skills
Python
Data Science
Tensorflow
Data Structures & Algorithms
Pytorch
SQL
AWS
Google Cloud Platform
Requirements
  • MS in Computer Science, Machine Learning, AI or a related field
  • 8+ years of experience designing scalable products and writing production code
  • 2+ years of practical experience productizing ML/AI applications in the cloud or applying data science to solve complex problems
  • 1+ year of management experience
  • Excellent communication skills to non-technical audience
  • Strong knowledge of data management and visualization techniques
  • Experience in using AI/ML frameworks such as PyTorch and TensorFlow
  • Solid experience with Python, SQL or other statistical tool sets
  • Experience in building large-scale graph or entity resolution algorithms with Graph ML/GNN
  • Familiarity with MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker) and MLFlow
  • Experience in ad tech
Responsibilities
  • Lead a team of 3 data scientists and software engineers
  • Collaborate with product managers and engineers to deliver improvement on Identity performance data science solutions
  • Build a machine learning / AI infrastructure to enable data science work based on large volumes of data
  • Develop machine learning / AI models to connect identity graphs in new ways
  • Perform analyses of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses

LiveRamp is an exceptional place to work for those interested in advancing the field of data collaboration and enhancing customer engagement. The company specializes in identity resolution, data activation, and campaign measurement, providing crucial tools for today's data-driven market environments. This focus on trusted, third-party data collaboration ensures a progressive work environment where employees can contribute to significant industry advancements and work with global data solutions.

Company Stage

N/A

Total Funding

$182.6M

Headquarters

San Francisco, California

Founded

2011

Growth & Insights
Headcount

6 month growth

2%

1 year growth

3%

2 year growth

4%