MENU
  • Remote Jobs
  • Companies
  • Go Premium
  • Job Alerts
  • Post a Job
  • Log in
  • Sign up
Working Nomads logo Working Nomads
  • Remote Jobs
  • Companies
  • Post Jobs
  • Go Premium
  • Get Free Job Alerts
  • Log in

Senior Machine Learning Engineer - Ads Retrieval

Reddit

Full-time
USA
$217k-$303k per year
machine learning
engineer
java
python
golang
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

Reddit has a flexible first workforce! if you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.

Ads Retrieval team’s mission is to identify the business opportunities, provide ML models and data driven solutions on candidate sourcing, recommendation, early ranking and filtering in Ads upper funnel. The team works on:

  • Build and iterate on candidate sourcing and early ranking Machine Learning models and algorithms to find the most relevant, engaging and diversified ads candidates for global optimization and various product use cases. 

  • Design and establish a large scale candidate indexing system to enable efficient candidate retrieval at a scale of millions to billions, which powers ads recommendation and ranking with good balance between quality and computation efficiency. 

As a senior machine learning engineer in the ads retrieval team, you will research, formulate and execute on our mission to build end-to-end ML solutions and deliver the right ad to the right user under the right context with data and ML driven solutions. 

Your Responsibilities:

  • Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques

  • Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system

  • Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy

  • Work on large scale data systems, backend services and product integration

  • Collaborate closely with multiple stakeholders cross product, engineering, research and marketing 

  • Be a mentor and cross-functional advocate for the team

Who You Might Be:

  • 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch with large-scale ML systems 

  • 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models

  • Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.

  • Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset

  • Prior experience with information retrieval and recommendation system

  • Ads domain knowledge on product and ML solutions is a plus

Benefits:

  • Comprehensive Healthcare Benefits

  • 401k Matching

  • Workspace benefits for your home office

  • Personal & Professional development funds

  • Family Planning Support

  • Flexible Vacation (please use them!) & Reddit Global Wellness Days

  • 4+ months paid Parental Leave

  • Paid Volunteer time off

About the job

Full-time
USA
$217k-$303k per year
7 Applicants
Posted 7 months ago
machine learning
engineer
java
python
golang
Enhancv advertisement

30,000+
REMOTE JOBS

Unlock access to our database and
kickstart your remote career
Join Premium

Senior Machine Learning Engineer - Ads Retrieval

Reddit
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

Reddit has a flexible first workforce! if you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.

Ads Retrieval team’s mission is to identify the business opportunities, provide ML models and data driven solutions on candidate sourcing, recommendation, early ranking and filtering in Ads upper funnel. The team works on:

  • Build and iterate on candidate sourcing and early ranking Machine Learning models and algorithms to find the most relevant, engaging and diversified ads candidates for global optimization and various product use cases. 

  • Design and establish a large scale candidate indexing system to enable efficient candidate retrieval at a scale of millions to billions, which powers ads recommendation and ranking with good balance between quality and computation efficiency. 

As a senior machine learning engineer in the ads retrieval team, you will research, formulate and execute on our mission to build end-to-end ML solutions and deliver the right ad to the right user under the right context with data and ML driven solutions. 

Your Responsibilities:

  • Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques

  • Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system

  • Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy

  • Work on large scale data systems, backend services and product integration

  • Collaborate closely with multiple stakeholders cross product, engineering, research and marketing 

  • Be a mentor and cross-functional advocate for the team

Who You Might Be:

  • 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch with large-scale ML systems 

  • 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models

  • Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.

  • Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset

  • Prior experience with information retrieval and recommendation system

  • Ads domain knowledge on product and ML solutions is a plus

Benefits:

  • Comprehensive Healthcare Benefits

  • 401k Matching

  • Workspace benefits for your home office

  • Personal & Professional development funds

  • Family Planning Support

  • Flexible Vacation (please use them!) & Reddit Global Wellness Days

  • 4+ months paid Parental Leave

  • Paid Volunteer time off

Working Nomads

Post Jobs
Premium Subscription
Sponsorship
Free Job Alerts

Job Skills
API
FAQ
Privacy policy
Terms and conditions
Contact us
About us

Jobs by Category

Remote Administration jobs
Remote Consulting jobs
Remote Customer Success jobs
Remote Development jobs
Remote Design jobs
Remote Education jobs
Remote Finance jobs
Remote Legal jobs
Remote Healthcare jobs
Remote Human Resources jobs
Remote Management jobs
Remote Marketing jobs
Remote Sales jobs
Remote System Administration jobs
Remote Writing jobs

Jobs by Position Type

Remote Full-time jobs
Remote Part-time jobs
Remote Contract jobs

Jobs by Region

Remote jobs Anywhere
Remote jobs North America
Remote jobs Latin America
Remote jobs Europe
Remote jobs Middle East
Remote jobs Africa
Remote jobs APAC

Jobs by Skill

Remote Accounting jobs
Remote Assistant jobs
Remote Copywriting jobs
Remote Cyber Security jobs
Remote Data Analyst jobs
Remote Data Entry jobs
Remote English jobs
Remote Spanish jobs
Remote Project Management jobs
Remote QA jobs
Remote SEO jobs

Jobs by Country

Remote jobs Australia
Remote jobs Argentina
Remote jobs Brazil
Remote jobs Canada
Remote jobs Colombia
Remote jobs France
Remote jobs Germany
Remote jobs Ireland
Remote jobs India
Remote jobs Japan
Remote jobs Mexico
Remote jobs Netherlands
Remote jobs New Zealand
Remote jobs Philippines
Remote jobs Poland
Remote jobs Portugal
Remote jobs Singapore
Remote jobs Spain
Remote jobs UK
Remote jobs USA


Working Nomads curates remote digital jobs from around the web.

© 2025 Working Nomads.