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Full-Time

Senior Machine Learning Engineer

Ads Prediction

Confirmed live in the last 24 hours

Reddit

Reddit

1,001-5,000 employees

Community-based content sharing and discussions

Data & Analytics

Compensation Overview

$216.7k - $303.4kAnnually

+ Equity + Commissions

Senior

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Tensorflow
Pytorch
Requirements
  • 3+ years of experience with industry-level deep learning models
  • 3+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
  • 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
  • 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset
  • Experience with Ads domain is a plus
  • Experience with recommendation system is a plus
Responsibilities
  • Building industrial-level models for critical ML tasks with advanced modeling techniques
  • Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures
  • Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub-models, etc.
  • Be a mentor and cross-functional advocate for the team
  • Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future.

Reddit is a platform with over 100,000 communities where users can engage in discussions, share content, and vote on posts related to their interests. The main technologies used include content submission, voting, and commenting features to facilitate diverse conversations and authentic human connections.

Company Stage

IPO

Total Funding

$17.1B

Headquarters

San Francisco, California

Founded

2005

Growth & Insights
Headcount

6 month growth

3%

1 year growth

6%

2 year growth

35%

Benefits

Comprehensive health benefits

Flexible unlimited vacation days & monthly global wellness days

Family planning funds & 4+ months paid parental leave

Personal & professional development funds

Paid volunteer time off

Workspace & home office benefits