Senior Machine Learning Engineer, Reddit

Search & Recommendation Relevance

$216.7-303.4k

+ RSU's

Python
GraphQL
Kafka
Redis
Airflow
Tensorflow
Kubeflow
PyTorch
BigQuery
REST API
Golang
Senior level
Remote in US
Reddit

Online platform for thoughts, experiences and discussions

Be an early applicant

Reddit

Online platform for thoughts, experiences and discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Be an early applicant

$216.7-303.4k

+ RSU's

Python
GraphQL
Kafka
Redis
Airflow
Tensorflow
Kubeflow
PyTorch
BigQuery
REST API
Golang
Senior level
Remote in US

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

Reddit's mission is to bring community and belonging to everyone.

Role

Who you are

  • 5+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale
  • Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang
  • Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs
  • Experience working with search & recommender systems and pipelines
  • Deep systems level understanding of industry scale recommendation systems
  • Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc
  • Big Plus: Experience in working and building machine learning models using PyTorch or Tensorflow

What the job involves

  • We are looking for a Senior Machine Learning Engineer to build and iterate on Guides, our next generation AI-driven search product. The person will also be responsible for a seamless integration of Guides into our existing Search Recommendation system.
  • You’ll be responsible for designing and building pipelines and algorithms that make it easy for users to find answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. You’ll work closely with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system
  • This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world
  • Contribute to improving Reddit's Search Recommendation Systems and Guides efforts prioritizing seamless and delightful user experience. This involves building out and testing new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration
  • Collaborate across disciplines and with ML, UX and Infra teams at Reddit to find technical solutions to complex challenges
  • Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency, while collaborating with other technical leaders to develop a long-term roadmap that aligns with the needs of a constantly evolving search product ecosystem
  • Design and develop reproducible ML systems pipelines that coordinate various components to enhance search relevance
  • Champion and drive engineering processes and best practices
  • Work with large scale data, models, piplelines and product integration

Our take

Reddit is a website that facilitates thousands of message board communities, known as subreddits, with an aim to promote authentic human connection. There are more than 100,000 communities on Reddit, covering everything, from food, entertainment, sports, and books, to more niche topics that cater for very specific audiences.

The simple platform is used by more than 52 million people a day and attracts over 50 billion monthly views. While these are impressive numbers, they do pale in comparison with social media giants Facebook and Twitter, however, Reddit distinguishes itself by providing easy-to-find communities for a truly endless range of topics.

Reddit makes money through advertising as well as offering a premium ad-free membership plan. The company has enjoyed continuous user & revenue growth, acquisitions by Conde Nast in 2006 and Advance in 2011, and plans to launch an IPO bid in 2024.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

57% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Aug 2021

$410m

SERIES F

Feb 2021

$250m

SERIES E

Total funding: $1.2bn

Company benefits

  • Paid volunteer time off
  • 4+ months paid parental leave
  • Personal and professional development stipend
  • Work from home opportunities
  • Health insurance

Company values

  • Make something people love
  • Evolve
  • Work hard
  • Default open

Company HQ

SoMa, San Francisco, CA

Leadership

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

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