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Senior Machine Learning Engineer - Ranking Foundation

Reddit

Full-time
USA
$217k-$303k per year
machine learning
engineer
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

Location: This role is completely remote-friendly. 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. 

Team Description: Ranking is a core and growing part of Reddit, connecting users with the content they’re looking for is key to the future of Reddit. The ML Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build ML infrastructure, including a scatter-gather ranking coordination service and feature indexes. We work closely with a team of MLEs to develop and productionize new models and with a team of ML backend engineers that build inference and training services and feature stores. 

Role Description: As a Senior Machine Learning Engineer, Ranking Foundation, you’ll work with the billions of events and terabytes of data generated every day to personalize Reddit posts and comments for each user on the platform, helping them connect and engage with their communities while discovering the best of Reddit. Owning projects from ideation to production, you will work closely with Backend Architects, Product Managers, Machine Learning and domain experts to deliver best in class personalized ranking systems that will advance Reddit’s efforts to bring community and belonging to everyone on the planet.

Responsibilities:

  • Collaborate on projects with other Ranking Foundation and Core Experience engineers where you’ll apply Machine Learning to personalization, discovery and recommendation problems

  • Build and deploy sophisticated machine learning models to improve experiences for millions of users

  • Run experiments, evaluate results and advocate for a decision with next steps

  • Collaborate across disciplines and with other ML teams at Reddit

Required Qualifications

  • 4+ years of experience with industry-level deep learning models

  • 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models

  • 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)

  • Successful track record of applying machine learning techniques in addressing real-world problems

  • Experience in content recommendations, and content personalization is a plus

  • Passionate about building delightful products for users

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

#LI-DB1 #LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$216,700—$303,400 USD

About the job

Full-time
USA
$217k-$303k per year
11 Applicants
Posted 1 month ago
machine learning
engineer
Enhancv advertisement

30,000+
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Senior Machine Learning Engineer - Ranking Foundation

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

Location: This role is completely remote-friendly. 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. 

Team Description: Ranking is a core and growing part of Reddit, connecting users with the content they’re looking for is key to the future of Reddit. The ML Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build ML infrastructure, including a scatter-gather ranking coordination service and feature indexes. We work closely with a team of MLEs to develop and productionize new models and with a team of ML backend engineers that build inference and training services and feature stores. 

Role Description: As a Senior Machine Learning Engineer, Ranking Foundation, you’ll work with the billions of events and terabytes of data generated every day to personalize Reddit posts and comments for each user on the platform, helping them connect and engage with their communities while discovering the best of Reddit. Owning projects from ideation to production, you will work closely with Backend Architects, Product Managers, Machine Learning and domain experts to deliver best in class personalized ranking systems that will advance Reddit’s efforts to bring community and belonging to everyone on the planet.

Responsibilities:

  • Collaborate on projects with other Ranking Foundation and Core Experience engineers where you’ll apply Machine Learning to personalization, discovery and recommendation problems

  • Build and deploy sophisticated machine learning models to improve experiences for millions of users

  • Run experiments, evaluate results and advocate for a decision with next steps

  • Collaborate across disciplines and with other ML teams at Reddit

Required Qualifications

  • 4+ years of experience with industry-level deep learning models

  • 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models

  • 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)

  • Successful track record of applying machine learning techniques in addressing real-world problems

  • Experience in content recommendations, and content personalization is a plus

  • Passionate about building delightful products for users

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

#LI-DB1 #LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$216,700—$303,400 USD

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