Staff Software Engineer - AI Serving Infrastructure
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: The AI Serving Infrastructure team develops and maintains Reddit's high-performance model serving infrastructure, generating millions of model predictions per second with low latency, with a focus on GPU optimization. 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 Staff ML Infrastructure Engineer, AI Serving, 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:
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
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
$230,000—$322,000 USD
About the job
Apply for this position
Staff Software Engineer - AI Serving Infrastructure
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: The AI Serving Infrastructure team develops and maintains Reddit's high-performance model serving infrastructure, generating millions of model predictions per second with low latency, with a focus on GPU optimization. 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 Staff ML Infrastructure Engineer, AI Serving, 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:
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
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
$230,000—$322,000 USD