Machine Learning Engineer, Reddit

$230-322k

AWS

Python

Java

Kafka

Redis

Airflow

Tensorflow

Cassandra

Redshift

Prometheus

Kubeflow

Grafana

PyTorch

BigQuery

Golang

DynamoDB

Junior, Mid and Senior level

San Francisco Bay Area

Online platform for thoughts, experiences & discussions

Be an early applicant

Online platform for thoughts, experiences & discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Be an early applicant

$230-322k

AWS

Python

Java

Kafka

Redis

Airflow

Tensorflow

Cassandra

Redshift

Prometheus

Kubeflow

Grafana

PyTorch

BigQuery

Golang

DynamoDB

Junior, Mid and Senior level

San Francisco Bay Area

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

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

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, Engineering (any field) or related quantitative discipline and five (5) years of experience in the job offered or related occupation
Special Skill Requirements: Designing, building, and iterating large-scale scalable software systems
Designing and building ML recommender systems at high scale
Delivering large and complex systems with significant business impact
Cross-functional collaboration on large-scale projects with complex dependencies across teams
Object-oriented programming (Python, Golang, or Java)
Building ML models with PyTorch or TensorFlow
API design and integration with REST, HTTP, Thrift, or gRPC
Working with largescale key-value and NoSQL storage and caching systems (Redis, Cassandra, DynamoDB)
Working with large-scale messaging and event-driven systems (Apache Kafka, AWS SQS, SNS, SES)
Building workflows using orchestration systems (Kubeflow, Ray, Apache Airflow, AWS Step Functions)
Working with large-scale analytics and data warehousing platforms (Google BigQuery, Amazon Redshift)
Experience with observability, logging, tracing and monitoring tools such as Prometheus, Grafana, AWS Cloudwatch
Designing, running, and analyzing A/B experiments to measure and optimize system performance

What the job involves

Design, build, and maintain scalable ML infrastructure to support notification relevance, targeting, ranking, and personalization across channels (e.g. push, email, in-app notifications) for millions of users
Architect and implement end-to-end ML pipelines for notifications, including data ingestion, feature computation, model training, evaluation, deployment, and online serving in production environments
Collaborate cross-functionally with data scientists, product managers, and engineers across teams to define requirements, align on priorities, and deliver end-to-end notification solutions
Lead design and implementation of experimentation frameworks (e.g. A/B testing, multi-armed bandits, or similar methods) to evaluate new notification models, ranking strategies, and targeting policies
Mentor and provide technical guidance to engineers, sharing best practices in machine learning engineering, distributed systems, and ML infrastructure design
Full-time telecommuting is an option

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 130,000 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 120 million daily users and billions of monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddit 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, 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 (3.9)

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

(CEO & Founder)

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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