Qureos Mentor

reddit

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.</p>
<p><b>
Team Overview</b></p>
<p>
We're building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch &amp; realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.</p>
<p>
We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems.</p>
<p>
This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.</li>
<li>Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.</li>
<li>Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning</li>
<li>Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.</li>
<li>Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management</li>
<li>Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.</li>
</ul>
<p><b>What You Bring</b></p>
<ul>
<li>3+ years in data infrastructure/platform engineering or ML infrastructure platforms.</li>
<li>Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools.</li>
<li>Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies.</li>
<li>Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving.</li>
<li>Strong coding skills and ability to write clean, maintainable, well-tested code.</li>
<li>Experience building intelligent automation or agentic workflows for ML systems is a strong plus</li>
<li>Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Group Personal Pension Scheme with Employer match</li>
<li>Private Medical and Dental Scheme</li>
<li>Income Replacement Programs</li>
<li>Bike to Work scheme</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

Machine Learning Systems Engineer, Ads ML Platform

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.</p>
<p><b>
Team Overview</b></p>
<p>
We're building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch &amp; realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.</p>
<p>
We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems.</p>
<p>
This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.</li>
<li>Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.</li>
<li>Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning</li>
<li>Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.</li>
<li>Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management</li>
<li>Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.</li>
</ul>
<p><b>What You Bring</b></p>
<ul>
<li>3+ years in data infrastructure/platform engineering or ML infrastructure platforms.</li>
<li>Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools.</li>
<li>Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies.</li>
<li>Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving.</li>
<li>Strong coding skills and ability to write clean, maintainable, well-tested code.</li>
<li>Experience building intelligent automation or agentic workflows for ML systems is a strong plus</li>
<li>Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK, the Netherlands or Ireland.</p>
<p>
The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience.</p>
<p>
The Ads Reliability team partners closely with Ads Engineering teams to improve reliability, scalability, operational excellence, and developer productivity across Reddit's advertising ecosystem.</p>
<p>
We're looking for a Staff Site Reliability Engineer who will provide technical leadership for reliability initiatives across the Ads organization and help shape the future of Ads infrastructure at Reddit.</p>
<h4 class="jobSectionHeader"><b>
What you'll do:</b></h4>
<ul><li>Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.</li>
<li>Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization.</li>
<li>Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems.</li>
<li>Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.</li>
<li>Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events.</li>
<li>Identify systemic reliability risks and drive long-term solutions that improve platform resilience.</li>
<li>Establish reliability metrics around advertiser-critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing.</li>
<li>Mentor engineers and provide technical leadership across multiple teams.</li>
<li>Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments.</li>
</ul><h4 class="jobSectionHeader"><b>What We're Looking For:</b></h4>
<ul><li>8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.</li>
<li>Strong experience supporting high traffic, user facing production environments.</li>
<li>Deep understanding of distributed systems, networking, Linux systems, cloud native architectures.</li>
<li>Experience designing highly available systems with strong operational and reliability practices.</li>
<li>Strong understanding of observability systems including metrics, logging, tracing, and alerting.</li>
<li>Good programming skills in languages such as Go, Python, or similar.</li>
<li>Experience improving reliability through SLOs, automation, incident management, and performance optimization.</li>
<li>Demonstrated ability to troubleshoot complex issues across a modern distributed system stack.</li>
<li>Strong collaboration and communication skills with the ability to influence technical direction across teams.</li>
</ul><h4 class="jobSectionHeader"><b>Nice to Have:</b></h4>
<ul><li>Experience supporting advertising technology platforms or other large-scale revenue-critical systems.</li>
<li>Deep understanding of reliability challenges associated with ad-serving, real-time auctions, budget pacing, campaign delivery, measurement, attribution, or billing systems.</li>
<li>Experience operating high-QPS, low-latency services where latency directly impacts business outcomes.</li>
<li>Experience establishing reliability programs that deliver meaningful, measurable business outcomes</li>
<li>Experience with Kubernetes, cloud infrastructure, and large-scale distributed systems.</li>
<li>Familiarity with Kafka, ClickHouse, Spark, Flink, BigQuery, or similar large-scale data platforms.</li>
<li>Experience partnering with Product, Data Science, and Ads Engineering organizations.</li>
<li>Experience supporting machine learning inference or recommendation systems at scale.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

Staff SRE, Ads

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.</p>
<p><b>
About the Team</b></p>
<p>
The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company's ML ecosystem.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design and build systems that improve the efficiency of ML training and inference workloads.</li>
<li>Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.</li>
<li>Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.</li>
<li>Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.</li>
<li>Build benchmarking frameworks and performance dashboards for training and serving systems.</li>
<li>Optimize distributed training infrastructure, data pipelines, and model serving architectures.</li>
<li>Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.</li>
<li>Drive technical strategy for ML platform scalability, reliability, and cost efficiency.</li>
</ul>
<p><b>Qualifications</b></p>
<p><b>
Required</b></p>
<ul>
<li>BS, MS, or PhD in Computer Science or a related field.</li>
<li>5+ years of software engineering experience.</li>
<li>Strong proficiency in Python</li>
<li>Profiency in at least one systems language (Go, C++, Rust, or Java) preferred</li>
<li>Experience building distributed systems at scale.</li>
<li>Experience with machine learning infrastructure, training systems, or model serving platforms.</li>
<li>Deep understanding of performance engineering and systems optimization.</li>
<li>Strong debugging and profiling skills.</li>
</ul>
<p><b>Preferred</b></p>
<ul>
<li>Experience with large-scale recommendation, ranking, generative AI, or foundation model systems.</li>
<li>Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark</li>
<li>Familiarity with GPU architectures and performance analysis tools.</li>
<li>Experience optimizing cloud infrastructure costs across large ML workloads.</li>
<li>Contributions to internal platforms used by multiple ML teams.</li>
<li>Experience with building real time ML inference applications</li>
</ul>
<p><b>What Success Looks Like</b></p>
<ul>
<li>ML engineers can move from idea to experiment faster.</li>
<li>Training and inference costs decrease, performance increases, while model quality is maintained or improved.</li>
<li>GPU utilization and cluster efficiency increase.</li>
<li>Platform reliability improves as ML workloads scale.</li>
<li>Teams spend less time managing infrastructure and more time building models.</li>
<li>Average recommendation model size increases.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

Staff Machine Learning Engineer, ML Efficiency

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK, the Netherlands or Ireland.</p>
<p>
The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience.</p>
<p>
The Ads Reliability team partners closely with Ads Engineering to improve reliability, scalability, operational excellence, and developer productivity across Reddit's advertising ecosystem. We help build and operate highly available services that drive revenue and maintain advertiser trust. We're looking for a Senior Site Reliability Engineer to build, operate, and scale the critical systems behind Reddit Ads.</p>
<h4 class="jobSectionHeader"><b>
Responsibilities:</b></h4>
<ul><li>Partner with Ads Engineering teams to improve reliability, scalability, and operational excellence of ad-serving, auction, targeting, measurement, and billing systems.</li>
<li>Design, build, and maintain infrastructure, tooling, and automation that improve service reliability and engineering productivity.</li>
<li>Improve observability through monitoring, alerting, tracing, logging, and dashboards.</li>
<li>Participate in on-call rotations and lead incident response efforts for critical production systems.</li>
<li>Run root cause analysis and drive corrective actions following incidents.</li>
<li>Collaborate with software engineers throughout the service lifecycle, from design reviews through production operations.</li>
<li>Drive adoption of SRE best practices including SLIs, SLOs, error budgets, capacity planning, and operational readiness reviews.</li>
<li>Reduce operational toil through automation and self-service tooling.</li>
<li>Help define and measure advertiser-critical user journeys such as campaign creation, ad delivery, reporting, and billing.</li>
<li>Scale Ads systems to support continued traffic growth, increased advertiser demand, and evolving business requirements.</li>
</ul><h4 class="jobSectionHeader"><b>Required Qualifications:</b></h4>
<ul><li>5+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.</li>
<li>Strong experience supporting high traffic, user facing production environments.</li>
<li>Good understanding of distributed systems, networking, Linux systems, cloud native architectures.</li>
<li>Good programming skills in languages such as Go, Python, or similar.</li>
<li>Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.</li>
<li>Experience with observability platforms, monitoring systems, alerting, and incident response.</li>
<li>Experience driving automation and operational improvements.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

Senior SRE, Ads

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.</p>
<p><b>
About the Team</b></p>
<p>
The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company's ML ecosystem.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design and build systems that improve the efficiency of ML training and inference workloads.</li>
<li>Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.</li>
<li>Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.</li>
<li>Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.</li>
<li>Build benchmarking frameworks and performance dashboards for training and serving systems.</li>
<li>Optimize distributed training infrastructure, data pipelines, and model serving architectures.</li>
<li>Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.</li>
<li>Drive technical strategy for ML platform scalability, reliability, and cost efficiency.</li>
</ul>
<p><b>Qualifications</b></p>
<p><b>
Required</b></p>
<ul>
<li>BS, MS, or PhD in Computer Science or a related field.</li>
<li>5+ years of software engineering experience.</li>
<li>Strong proficiency in Python</li>
<li>Profiency in at least one systems language (Go, C++, Rust, or Java) preferred</li>
<li>Experience building distributed systems at scale.</li>
<li>Experience with machine learning infrastructure, training systems, or model serving platforms.</li>
<li>Deep understanding of performance engineering and systems optimization.</li>
<li>Strong debugging and profiling skills.</li>
</ul>
<p><b>Preferred</b></p>
<ul>
<li>Experience with large-scale recommendation, ranking, generative AI, or foundation model systems.</li>
<li>Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark</li>
<li>Familiarity with GPU architectures and performance analysis tools.</li>
<li>Experience optimizing cloud infrastructure costs across large ML workloads.</li>
<li>Contributions to internal platforms used by multiple ML teams.</li>
<li>Experience with building real time ML inference applications</li>
</ul>
<p><b>What Success Looks Like</b></p>
<ul>
<li>ML engineers can move from idea to experiment faster.</li>
<li>Training and inference costs decrease, performance increases, while model quality is maintained or improved.</li>
<li>GPU utilization and cluster efficiency increase.</li>
<li>Platform reliability improves as ML workloads scale.</li>
<li>Teams spend less time managing infrastructure and more time building models.</li>
<li>Average recommendation model size increases.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Group Personal Pension Scheme with Employer match</li>
<li>Private Medical and Dental Scheme</li>
<li>Income Replacement Programs</li>
<li>Bike to Work scheme</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

<div><div><div><div><div><div><div><div>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 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
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</div></div></div></div></div><p><b>Location: </b>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK, the Netherlands or Ireland.</p>
<p>
The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience.</p>
<p>
The Ads Reliability team partners closely with Ads Engineering teams to improve reliability, scalability, operational excellence, and developer productivity across Reddit's advertising ecosystem.</p>
<p>
We're looking for a Staff Site Reliability Engineer who will provide technical leadership for reliability initiatives across the Ads organization and help shape the future of Ads infrastructure at Reddit.</p>
<h4 class="jobSectionHeader"><b>
What you'll do:</b></h4>
<ul><li>Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.</li>
<li>Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization.</li>
<li>Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems.</li>
<li>Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.</li>
<li>Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events.</li>
<li>Identify systemic reliability risks and drive long-term solutions that improve platform resilience.</li>
<li>Establish reliability metrics around advertiser-critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing.</li>
<li>Mentor engineers and provide technical leadership across multiple teams.</li>
<li>Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments.</li>
</ul><h4 class="jobSectionHeader"><b>What We're Looking For:</b></h4>
<ul><li>8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.</li>
<li>Strong experience supporting high traffic, user facing production environments.</li>
<li>Deep understanding of distributed systems, networking, Linux systems, cloud native architectures.</li>
<li>Experience designing highly available systems with strong operational and reliability practices.</li>
<li>Strong understanding of observability systems including metrics, logging, tracing, and alerting.</li>
<li>Good programming skills in languages such as Go, Python, or similar.</li>
<li>Experience improving reliability through SLOs, automation, incident management, and performance optimization.</li>
<li>Demonstrated ability to troubleshoot complex issues across a modern distributed system stack.</li>
<li>Strong collaboration and communication skills with the ability to influence technical direction across teams.</li>
</ul><h4 class="jobSectionHeader"><b>Nice to Have:</b></h4>
<ul><li>Experience supporting advertising technology platforms or other large-scale revenue-critical systems.</li>
<li>Deep understanding of reliability challenges associated with ad-serving, real-time auctions, budget pacing, campaign delivery, measurement, attribution, or billing systems.</li>
<li>Experience operating high-QPS, low-latency services where latency directly impacts business outcomes.</li>
<li>Experience establishing reliability programs that deliver meaningful, measurable business outcomes</li>
<li>Experience with Kubernetes, cloud infrastructure, and large-scale distributed systems.</li>
<li>Familiarity with Kafka, ClickHouse, Spark, Flink, BigQuery, or similar large-scale data platforms.</li>
<li>Experience partnering with Product, Data Science, and Ads Engineering organizations.</li>
<li>Experience supporting machine learning inference or recommendation systems at scale.</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Group Personal Pension Scheme with Employer match</li>
<li>Private Medical and Dental Scheme</li>
<li>Income Replacement Programs</li>
<li>Bike to Work scheme</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div><p>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

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