Staff Machine Learning Software Engineer, Reddit

Prediction

$198.2-297.3k

Plus equity in the form of restricted stock units and depending on the position offered it may also be eligible to receive a commission

Tensorflow

PyTorch

Senior and Expert level

Remote from US

Online platform for thoughts, experiences and discussions

Job no longer available

Online platform for thoughts, experiences and discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Job no longer available

$198.2-297.3k

Plus equity in the form of restricted stock units and depending on the position offered it may also be eligible to receive a commission

Tensorflow

PyTorch

Senior and Expert level

Remote from US

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

To empower communities, and make their knowledge accessible to all.

Job

Company

Role

Who you are

2+ years of experience with industry-level deep learning models
5+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
5+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
5+ 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

What the job involves

As a Staff Machine Learning Engineer in the ads prediction team, you will research, formulate and execute on our mission to deliver the right ad to the right user under the right context with data and ML driven solutions
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
Research, implement, test, and launch new model architectures to handle retrieval ranking tasks with a good balance between model performance and computation efficiency
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
Ads prediction team is the central team to handle machine learning needs in the ads delivery pipeline. Some examples projects that the team own:
Be a mentor and cross-functional advocate for the team
Improve our model through systematic model architecture engineering work including exploring different deep neural network architectures
Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future
Systematic feature engineering work to build power features from Reddit’s data with aggregation, embedding, content understanding techniques
Developing highly efficient retrieval ranking models with good balance between model performance and computation efficiency

Our take

Reddits is an online platform that hosts thousands of message board communities (known as subreddits) designed to foster authentic human connection. With more than 100,000 communities covering everything from food, entertainment, and sports to niche interests for highly specific audiences, there's virtually a space for everyone.

The platform attracts over 52M daily users and more than 50B monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddits stands out by offering easily discoverable communities where users can dive deep into virtually any topic imaginable.

Today, Reddit continues to grow its user base and expand its reach, remaining a unique hub for conversation,m connection, and shared interests. With its strong community-driven model and steady revenue streams, it's most definitely positioned to stay a central part of online culture for years to come.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

57% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 6 rounds)

Aug 2021

$410m

SERIES F

Feb 2021

$250m

SERIES E

Total funding: $1.2bn

Company benefits

Comprehensive health benefits
Flexible vacation & Reddit global days off
Family planning funds & 4+ months paid parental leave
Personal & professional development funds
Paid volunteer time off
Workspace & home office benefits

Company HQ

SoMa, San Francisco, CA

Leadership

Steve Huffman

(Co-Founder & CEO)

After co-founding Reddit in 2005, they stepped away from the company to co-found Hipmunk, where they were the CTO for 5 years. They returned to Reddit in 2015, and have been the CEO since.

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