Software Engineer - ML & Search Infrastructure (multiple levels)
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.
We are hiring Machine Learning Infrastructure Engineers for multiple levels across the following teams:
ML Search Infrastructure: The Search Infra team manages the Search Retrieval Infra & Platform at Reddit, crafting and maintaining the essential databases, interfaces & services that ensure users find what they’re looking for quickly and accurately. With a focus on building robust machine learning infrastructure, we prioritize reliability and performance, enabling seamless search experiences across the platform. We are collaborating closely with a team of machine learning engineers and backend architects to develop the next generation of search infrastructure at Reddit, enabling a variety of search functionalities, including Vector and Lexical search.
ML Ranking Platform: 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. This is particularly salient right now, as our society is currently engaging in a deep discussion around the algorithms used to match users with content. 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 are deeply concerned with helping our users fulfill their intention for visiting Reddit, not just capturing their attention.
AI Serving Infrastructure: The AI Serving team develops and maintains Reddit's high-performance model serving infrastructure, generating millions of model predictions per second with low latency. We collaborate closely with machine learning engineers to support a diverse range of models and partner with training and feature teams to deliver a seamless train-to-serve experience for efficient and reliable model deployment
As a Machine Learning Infrastructure Engineer on any of our teams, you will be responsible for designing, building, and maintaining the infrastructure and platform that powers our search capabilities. You will collaborate with Backend Architects and Product ML teams to shape the roadmap for ML infrastructure and platforms, while providing ongoing support to scale the platform and meet evolving needs for state-of-the-art models. How You'll Have Impact You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle, enabling the continuous iteration and improvement of systems that use ML techniques, including Deep Learning, Natural Language Processing, Recommendation Systems, Representation Learning, and Computer Vision.
Lead the building, testing, and maintenance of ML infrastructure at Reddit
Propose, design, and implement high-performance ML Infra solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
Design and implement solutions that significantly advance the ML Infrastructure
Collaborate closely with XFN partner teams/internal customers.
Work with management on team goal setting, planning, and de-risk project execution
Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML infra components and services health and quality
Who You Might Be:
3-8+ years of work experience in a production software development environment
Experience working on large-scale ML Systems
Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in golang, Python and Scala.
Experience with Kubernetes
Knowledge of maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis, Search Databases
Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
Strong organizational & communication skills
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
About the job
Software Engineer - ML & Search Infrastructure (multiple levels)
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.
We are hiring Machine Learning Infrastructure Engineers for multiple levels across the following teams:
ML Search Infrastructure: The Search Infra team manages the Search Retrieval Infra & Platform at Reddit, crafting and maintaining the essential databases, interfaces & services that ensure users find what they’re looking for quickly and accurately. With a focus on building robust machine learning infrastructure, we prioritize reliability and performance, enabling seamless search experiences across the platform. We are collaborating closely with a team of machine learning engineers and backend architects to develop the next generation of search infrastructure at Reddit, enabling a variety of search functionalities, including Vector and Lexical search.
ML Ranking Platform: 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. This is particularly salient right now, as our society is currently engaging in a deep discussion around the algorithms used to match users with content. 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 are deeply concerned with helping our users fulfill their intention for visiting Reddit, not just capturing their attention.
AI Serving Infrastructure: The AI Serving team develops and maintains Reddit's high-performance model serving infrastructure, generating millions of model predictions per second with low latency. We collaborate closely with machine learning engineers to support a diverse range of models and partner with training and feature teams to deliver a seamless train-to-serve experience for efficient and reliable model deployment
As a Machine Learning Infrastructure Engineer on any of our teams, you will be responsible for designing, building, and maintaining the infrastructure and platform that powers our search capabilities. You will collaborate with Backend Architects and Product ML teams to shape the roadmap for ML infrastructure and platforms, while providing ongoing support to scale the platform and meet evolving needs for state-of-the-art models. How You'll Have Impact You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle, enabling the continuous iteration and improvement of systems that use ML techniques, including Deep Learning, Natural Language Processing, Recommendation Systems, Representation Learning, and Computer Vision.
Lead the building, testing, and maintenance of ML infrastructure at Reddit
Propose, design, and implement high-performance ML Infra solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
Design and implement solutions that significantly advance the ML Infrastructure
Collaborate closely with XFN partner teams/internal customers.
Work with management on team goal setting, planning, and de-risk project execution
Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML infra components and services health and quality
Who You Might Be:
3-8+ years of work experience in a production software development environment
Experience working on large-scale ML Systems
Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in golang, Python and Scala.
Experience with Kubernetes
Knowledge of maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis, Search Databases
Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
Strong organizational & communication skills
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