Machine Learning Engineer, Search (multiple levels)

1 Month ago • 3-10 Years • Research Development • $185,800 PA - $322,000 PA

Job Summary

Job Description

The Machine Learning Engineer will contribute to advancing current search systems and building Reddit Answers, an AI-driven search product. Responsibilities include developing and enhancing search retrieval and ranking models, designing pipelines to help users find high-quality answers, collaborating with product managers and engineers, developing and testing new components, deploying ML models, and ensuring high uptime and low latency in pipelines. This role involves technical and product strategy, operations, architecture, and execution. With experience in Python and Golang, designing and implementing maintainable APIs is a must. This high-impact role will allow for collaboration with other technical leaders to develop a long-term roadmap and ensure a constantly evolving search product ecosystem.

Must have:

3-10+ years of industry experience as a machine learning or software engineer.
Experience building machine learning models using PyTorch or Tensorflow.
Experience working with search and recommender systems and pipelines.
Experience building production-quality code including testing and evaluation.
Experience in Python, Golang for building production quality code.
Experience in GraphQL, REST, HTTP, Thrift, or gRPC.
Experience developing applications using large scale data stack.

Perks:

Comprehensive Healthcare Benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation
Reddit Global Wellness Days
4+ months paid Parental Leave
Paid Volunteer time off

10 skills required

10 skills required for this role

Add these skills to join the top 1% applicants for this job

game-texts

quality-control

solr

pytorch

redis

graphql

python

algorithms

tensorflow

machine-learning

Job Details

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

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:
The Search & Recommendation Relevance team focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and opinions from all across Reddit on any topics, empowering discovery.

We are looking for Machine Learning Engineers across multiple levels to shape the future of Search products at Reddit.

In this role, you will contribute to advancing our current search systems as well as building and iterating on Reddit Answers, our next generation AI-driven search product. As a Machine Learning Engineer, you will:

Role Description:

Develop and enhance Search Retrievals and Ranking models - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on semantic models and ranking systems.
Design and build pipelines and algorithms that make it effortless for users to find high-quality answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant.
Collaborate with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system.
Develop and test new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.
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.
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.

Required Qualifications:

3-10+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale.
Experience in working and building machine learning models using PyTorch or Tensorflow.
Experience working with search & recommender systems and pipelines.
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. 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.

Benefits: