Reddit is looking for a strategic FP&A Manager to help chart our future and support our mission of bringing community and belonging to everyone in the world. In this role, you will be a guiding force for our senior executive team, providing the financial visibility and nuanced insights that shape high-level decision-making and company direction. By joining a team dedicated to building the future of Finance at Reddit, you will gain a deep understanding of our business drivers while making a tangible impact on how a mission-driven organization operates.

Location: Remote - United States

What You’ll Do:

• Responsible for budgeting, forecasting, reporting, variance analysis, and ad-hoc analysis for various areas in the company
• Develop flexible financial models and workforce forecasts to analyze headcount growth, incremental hiring needs, and talent acquisition capacity against peer benchmarks and long-term business goals
• Provide management with clear insights into drivers of business growth, risks, and opportunities. Play a key role in providing the valuable insights that can translate into business recommendations
• Key partner to the business to develop strategies, build insightful forecasting and reporting and drive impactful insights for key leaders. This includes strategic partnership, financial presentations, measuring key metrics for operational performance, and other projects as requested for optimal decision making within an extremely high growth and fast-paced environment
• Develop and streamline FP&A processes, focused on adding value and allowing us to scale partnership with the business, including planning and forecasting processes, standardizing and automating reporting, improving how we leverage internal systems, and building operational and forecast models
• Work cross-functionally day-to-day with Finance, Accounting, and Human Resources teams in budget management/tracking and evaluating progress against key initiatives, with a keen eye towards process improvement
• Partner with cross functional team members to drive strategic resource allocation
• Regularly work in a highly visible, cross-functional role with the business and executive leadership

Who You Might Be:

• 5+ years of experience with and exposure to high-growth technology companies and experience in one of the following partnership roles: HR Finance, Compensation
• Advanced MS Excel/Google Sheets; proficient in PowerPoint/Google Slides; SQL experience a plus; familiarity with ERP systems (GL + Planning & Consolidation systems) a plus
• Results-oriented customer advocate with an entrepreneurial mindset; demonstrated an ability to innovate, a bias toward action in fast-paced environments, and development of clear, actionable recommendations
• Track record of strategic execution and implementation of ideas, processes, and programs
• Working knowledge of company valuation methodologies and experience creating flexible forecasting and scenario models
• Experience working with large datasets and extracting and interpreting key financial insights as well as providing data-driven business recommendations
• Experience working cross-functionally with executives across the company and partner teams
• Ability to communicate and discuss complex topics with technical and non-technical audiences

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Reddit has a flexible workforce! 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. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence

The Compute Platform team is seeking a Senior Software Engineer to work at the intersection of infrastructure and software development. As one of the world’s busiest websites, our platform is central to Reddit’s operations, focusing on high-level orchestration for multi-cloud deployments and intra-cluster challenges. You will build the APIs, controllers, and SDKs that automate the lifecycle of our global fleet, while simultaneously solving for performance, resource packing, and hardware management (including GPUs) across various cloud providers.

We operate as a team of generalists; you will be expected to handle software development, system design, and operational support. Your work will directly impact hundreds of millions of users by improving the availability and efficiency of the foundational platform that runs all of Reddit.

Responsibilities:

• Design and deliver software solutions in Go to improve the availability, scalability, and latency of Reddit’s compute infrastructure.
• Develop Kubernetes controllers and operators to automate cluster management, workload scheduling, and the reconciliation of complex system states.
• Build core tooling and SDKs that codify network configurations, managed services, and compute capacity tracking across a multi-region fleet.
• Optimize intra-cluster performance by developing reactive schedulers and detecting node-level characteristics to inform availability.
• Collaborate across the organization to provide technical feedback and automate critical development workflows and infrastructure operations.
• Participate in an on-call rotation (approximately one week every 8-9 weeks) to ensure the stability of our global scale systems.

Required Qualifications:

• 4+ years of experience developing internet-scale software with a heavy focus on infrastructure and distributed systems.
• Proficient in Go with a proven track record of building and managing Kubernetes services at scale.
• An expert in Linux internals, including a solid understanding of multi-tenancy primitives like cgroups and namespaces.
• A contributor to the open-source community, ideally within the infrastructure or CNCF domain.
• A self-starter capable of troubleshooting complex, cross-system issues and managing large projects independently.
• An excellent communicator who thrives in a collaborative, service-oriented environment.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-remote

You will join a highly collaborative compensation team of self‑driven individuals who value teamwork, practical problem‑solving, and thoughtful decision‑making. You’ll partner closely with internal teams such as Finance, HRBPs, Talent Acquisition, Legal and Equity to translate business strategy into scalable compensation programs across broad-based, sales, and executive/equity compensation.

This role will actively participate in evolving and scaling our compensation programs and philosophy.  You are a trusted subject-matter expert who independently leads complex, cross‑functional projects, shapes best practices, and influences strategy and decisions across multiple functions.

You will be responsible for: 

• Data-Driven Insights:  Translate complex data into clear, actionable narratives for senior leaders, HRBPs, and Talent partners.
• Compensation Program Design: Utilize expertise to design innovative and competitive compensation programs that align with and support the company's business strategy.  
• Cross-Functional Collaboration: Partner with stakeholders across various functions to plan, develop, implement, and administer compensation programs.

What we’re looking for:

Experience & Skills

• 8–10+ years of progressive experience in compensation or closely related analytical roles, ideally in high‑growth technology or similarly dynamic environments.
• Deep understanding of compensation principles and practices across base pay, bonus, and equity (including program design, job architecture, ranges, market benchmarking, and pay equity).
• Demonstrated strength in quantitative analysis and modeling, including advanced skills in Google Sheets/Excel (e.g., modeling, scenario analysis, data visualization).
• Experience partnering with HRBPs, Talent Acquisition, and Finance to support comp cycles, offers, promotions, and budgeting.
• Comfort navigating ambiguity and making thoughtful tradeoffs among market alignment, internal equity, performance, and budget.
• Familiarity with Greenhouse, Workday, Pave or Compa a plus

Attributes

• Strategic thinker: Connects compensation decisions to Reddit’s broader business strategy and long‑term talent goals.
• Problem solver: Breaks down complex, ambiguous compensation problems into structured approaches and clear recommendations.
• Data‑driven & detail‑oriented: Balances high‑level storytelling with precision in data, modeling, and documentation.
• Smart & adaptable: Learns quickly, iterates based on feedback, and adjusts approaches as Reddit grows and programs evolve.
• Trustworthy & service‑minded: Builds strong, long‑term relationships with stakeholders; is seen as a fair, balanced, and practical partner who protects both employee experience and company sustainability.
• Winning mindset: Pushes work forward despite ambiguity, constraints, or misalignment; finds paths to impact rather than getting stuck.

We are looking for a Corporate Paralegal to provide support for Reddit’s corporate functions while driving efficiency through legal operations and technology adoption.

Location: Remote - United States

The Corporate Work You Will Do: 

• Support the lifecycle of periodic securities filings, including 10-Qs, 10-Ks, and Section 16 reporting
• Assist with legal needs required for Reddit’s equity administration functions
• Assist with administration of Reddit’s equity program and related record-keeping
• Facilitate domestic and international corporate filings for Reddit and its subsidiaries
• Support corporate legal needs relating to Reddit’s ongoing international expansion 
• Maintain corporate minute books and corporate records database
• Support the preparation and organization of materials for the quarterly board meetings
• Assist with M&A and other corporate transactions, including diligence and project management

The Legal Operations Work You Will Do:

• Support outside counsel management, including administration through Brightflag
• Facilitate the testing and adoption of artificial intelligence tools within the legal department to improve workflow efficiency
• Support the planning and execution of legal team offsites and internal strategy sessions

What We’re Looking For:

• Experience: You have three+ years of corporate paralegal experience, including securities and corporate governance experience
• Qualities: You would describe yourself as organized, detail-oriented, process-focused, proactive, and adaptable
• Hybrid Skillset: You are equally comfortable preparing corporate minutes, troubleshooting outside counsel billing issues, and planning a team offsite 
• Technological Adaptability: You are an early adopter of new software and are eager to test and implement artificial intelligence tools to automate routine legal tasks

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

We’re looking for a Senior Staff Machine Learning Engineer to join our Feed Relevance team, which is responsible for the end-to-end systems that power personalization and ranking for the main Reddit feeds. This is a critical role that blends hands-on development with technical leadership, focusing on building scalable, extensible, and highly performant personalization systems. You will be instrumental in defining the technical direction for the team, collaborating closely with Product and Engineering leadership to set the strategy, and working with other individual contributors to execute and scale our systems to serve tens of millions of users. This work will directly enable our Machine Learning Engineers (MLEs) and engineers to quickly iterate and continuously improve the user experience. You will also partner with Infra and Platform teams to inform the direction of our core infrastructure, building for the future of ML at Reddit.

Responsibilities:

• Deliver on technical initiatives that have significant company-wide impact
• Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs
• Work with management on goal setting, planning, and de-risking critical projects
• Mentor and grow Senior and Staff engineers
• Create a strong healthy engineering culture

Qualifications:

• 10+ years of industry experience building systems for relevance driven products
• Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can 
• Deep understanding of how to build sustainable software systems at a large scale engineering organization
• Experience in influencing organizations on technical direction/best practices
• Experience working with cross-functional teams such as design, product, business & data teams to deliver great experiences.
• Strong focus on user experience, usability, scalability, reliability and quality. You are an undying advocate for the user, and you have a deep intuition for how people & machines interact with software at scale.
• High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-remote, #LI-JS5

About the Team

The Advertiser Optimization team is a strategic, high-growth engine within Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. We empower advertisers to identify their ideal audiences and scale their impact through sophisticated automation and intelligence.

Our portfolio spans the core pillars of the Reddit Ads ecosystem:

• Precision & Reach: Targeting, Planning, and Forecasting.

• Performance & Scale: Bidding, Budget Management, and Pacing.

• Intelligence: AI-driven Recommendations and Optimization Scores.

The Role

As a leader within this critical organization, you will hold significant ownership over Reddit’s long-term monetization strategy. You will manage multiple broad product areas, leading a high-performing team to build products that are as delightful as they are effective.

Core Responsibilities

• Leadership & Growth: Hire, mentor, and develop a world-class team of Product Managers, fostering a culture of excellence and innovation.

• Strategy & Vision: Define and champion the long-term product vision for advertising products; translate complex advertiser needs into a cohesive, high-impact roadmap.

• Cross-Functional Partnership: Collaborate seamlessly with Engineering, Data Science, Design, Sales, and Marketing to launch products that drive measurable advertiser success.

• Execution: Own key performance indicators (KPIs) and drive the end-to-end execution of features within the product suite.

• Communication: Craft compelling product narratives and present strategic updates to diverse stakeholders, including the executive leadership team.

• Market Leadership: Stay at the forefront of ad tech evolution, identifying emerging opportunities to keep Reddit Ads ahead of the curve.

Qualifications

Minimum Requirements

• Industry Expertise: 8+ years of Product Management experience, specifically within Ads Quality or building Advertiser-facing products.

• Leadership: Proven track record as an experienced people manager with a focus on talent development.

• Strategic Impact: A history of developing product visions that result in quantifiable business growth.

• Analytical Rigor: Exceptional problem-solving skills and the ability to turn complex data into actionable product insights.

• Influence: Strong interpersonal and communication skills; able to align cross-functional teams and influence senior stakeholders.

Preferred Qualifications

• Management Scale: Experience managing people managers and leading multi-layered organizations.

• Technical Depth: A background in Computer Science, Mathematics, or a related quantitative field.

• Advanced Tech: Experience leading Machine Learning product teams or shipping ML-driven features.

Perks and Benefits:

• 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
• Competitive salary and equity options
• Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
• Generous 401k matching
• Flexible vacation policy 
• Paid parental leave (4+ months)
• Family planning support
• Paid volunteer time off 

#LI-AS1

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

[Location: remote-friendly or any office location - SF, LA, CHI, NY]

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Location: US remote-friendly

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

• Required:
  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Demonstrated expertise in at least one of the following areas:
    • Measurement & Experimentation at Scale (with focus on lift and attribution)
    • Identity Graph Creation & Resolution Methodology and Infrastructure
    • Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Location: US remote-friendly

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

• Required:
  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Demonstrated expertise in at least one of the following areas:
    • Measurement & Experimentation at Scale (with focus on lift and attribution)
    • Identity Graph Creation & Resolution Methodology and Infrastructure
    • Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-Remote

The Contributions team is responsible for two of the most important actions on the platform: Posting and Commenting. We know that conversations are the lifeblood of Reddit, so we strive to ensure the content and the surrounding conversation is simple, expressive, intelligent, and modern. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

This role can be 100% remote within the United States or Canada. If you are located near an office, you’re welcome to work a hybrid schedule as well! 

What You’ll Do:

• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
• Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor engineers on the team to grow their technical expertise.
• Continuously learn and improve your technical and non-technical abilities.

Minimum Candidate Qualifications for this role:

• Minimum of 3+ years of post-internship, full-time, hands-on, professional software development experience developing user-facing iOS mobile native applications at scale, using Swift.
• Familiarity with software engineering best practices such as unit/integration/end-to-end testing, design documents, CI/CD, A/B testing, code reviews, and documentation
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.
• BS degree in Computer Science, a similar technical field of study or equivalent practical, professional, hands-on experience.
• You love to build new things and thrive in ambiguity and even failure. You care about innovation. 
• Software development experience in one or more general-purpose programming languages; Swift (expertise required), Java, Python, Go, Rust, C++.
• Additional knowledge around GraphQL, REST, HTTP basics, and the ability to design maintainable APIs is a plus.

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Comprehensive Medical Benefits & Health Care Spending Account

• Registered Retirement Savings Plan with matching contributions

• Income Replacement Programs

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave

The Contributions team is responsible for two of the most important actions on the platform: Posting and Commenting. We know that conversations are the lifeblood of Reddit, so we strive to ensure the content and the surrounding conversation is simple, expressive, intelligent, and modern. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

This role can be 100% remote within the United States or Canada. If you are located near an office, you’re welcome to work a hybrid schedule as well! 

What You’ll Do:

• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
• Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor engineers on the team to grow their technical expertise.
• Continuously learn and improve your technical and non-technical abilities.

Minimum Candidate Qualifications for this role:

• Minimum of 3+ years of post-internship, full-time, hands-on, professional software development experience developing user-facing iOS mobile native applications at scale, using Swift.
• Familiarity with software engineering best practices such as unit/integration/end-to-end testing, design documents, CI/CD, A/B testing, code reviews, and documentation
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.
• BS degree in Computer Science, a similar technical field of study or equivalent practical, professional, hands-on experience.
• You love to build new things and thrive in ambiguity and even failure. You care about innovation. 
• Software development experience in one or more general-purpose programming languages; Swift (expertise required), Java, Python, Go, Rust, C++.
• Additional knowledge around GraphQL, REST, HTTP basics, and the ability to design maintainable APIs is a plus.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs

• 401k with Employer Match

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave

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-Remote

The Developer Platform team is building the future of Reddit: a future where third-party developers, moderators and everyday redditors can invent and ship brand-new apps, games and tools that create entirely new ways for communities to play, connect and get things done at reddit. We power everything from interactive custom posts and daily games to mod tooling and data products, giving builds the primitives they need to create entirely new kinds of  experiences on Reddit. 

Within Developer Platform, our Growth team focuses on helping redditors discover the right apps and games at the right time through ranking, notifications, and cross‑surface entry points, directly moving the needle on engagement and DAU for Dev Platform experiences. You’ll work end‑to‑end with a highly collaborative, cross‑functional group of engineers, PMs, designers, and data scientists who value impact, personal growth, openness, and kindness, and who ship quickly while holding a high bar for reliability and performance across Reddit’s web, mobile, and backend stack.

How You'll Have Impact

We are looking for a Staff Machine Learning Engineer to build the ranking and personalization systems that connect redditors with their next favorite game or app on Reddit. You will work closely with Product, Backend, Data Science, and Core Ranking/ML Platform teams to design and ship best-in-class ranking, retrieval, and experimentation systems that power discovery and re-engagement for Dev Platform experiences across feeds, surfaces, and notifications.

You will own problems end-to-end—from framing objectives and defining signals, to training and deploying models, to designing experiments and reading results—not just tuning existing knobs on mature systems. You’ll help define the ranking strategy for Developer Platform, stand up new ML models and feedback loops where none exist today, and turn noisy behavioral data into clear wins for users, creators, and developers.

This is a high-impact, 0→1 role where your work will directly shape how interactive apps and games show up on one of the largest sites in the world. You’ll set technical direction for Dev Platform ranking, raise the bar on relevance and system reliability, and mentor other engineers as we scale a team of builders who value impact, personal growth, openness, and kindness.

Languages: Go, Python, C++ or any object oriented programming language

Libraries: Baseplate, GraphQL

Databases: Redis, Postgres, Memcached 

Tools: Kubernetes, AWS

Tools: Kubernetes, Docker, AWS, GCP

What You’ll Do

• Design and ship next-generation ranking and personalization models that power discovery of Dev Platform apps and games across Reddit surfaces.
• Partner with ML, DS, and product to define signals, APIs, and feedback loops for building, deploying, and iterating on ranking models.
• Explore and productionize new retrieval, ranking, and experimentation approaches that unlock new Dev Platform experiences.
• Champion model quality, reproducibility, and experimentation best practices — including offline evaluation, A/B testing, and monitoring for model health and degradation
• Mentor engineers and lead technical discussions, shaping the long-term ranking and personalization modeling strategy for Dev Platform.

Who You Might Be

• 8+ years of experience building and deploying ML models in production, particularly in ranking or personalization modeling, large-scale representation learning, or recommender systems.
• Proven track record working on cross-functional product teams (PM, Design, DS, Eng) where you owned end-user outcomes, not just models or infra, and shipped features that moved core product metrics.
• Strong domain knowledge in modern ranking and personalization techniques: user/item embeddings, multi-task learning, sequential modeling, or similar approaches applied at scale.
• Experience designing and implementing performant, stable, and efficient ML or ranking systems (recommendation, ads, search, feed, or similar high-throughput decision systems).
• Strong organizational skills with the ability to prioritize, sequence, and de-risk work, keeping complex projects on schedule with a high attention to detail.
• BS in Computer Science or a related technical field, or equivalent practical experience.
• Comfortable with software engineering best practices: testing, code reviews, technical design docs, and clear documentation for other teams that depend on your systems.
• Entrepreneurial mindset: you are self-directed, comfortable in ambiguity, and biased toward action in fast-paced environments. You like 0→1 building, iteration, and learning from experiments and failures.
• Excellent communication skills: you collaborate effectively in a remote, cross-functional team, and can explain complex ML and ranking concepts to both technical and non-technical stakeholders.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-remote

This role is based out of  one of our hub offices: New York, San Francisco, Chicago or Los Angeles.

Reddit is looking for a Measurement Lead to help our advertisers succeed with our priority lower funnel products. This role will be an integral part of the Marketing Sciences team, and overall Revenue organization – driving our value proposition to our clients and their partners by continuously testing, learning and improving the power and performance of Reddit as a media platform. 

Responsibilities:

• Daily responsibilities will span advertising measurement execution, measurement strategy, client consultation at scale, while working closely with Reddit’s sales, product, and product marketing teams
• Leverage measurement results to drive business growth for our clients across priority lower funnel ads products - developing benchmarks, media & creative best practices, and refinement/optimization to audience and targeting strategy to improve efficiency and effectiveness.  
• Co-develop Reddit best practices with Product, PMM, GTM and sales teams. Work and consult across a breadth of clients and measurement types including brand lift, conversion/sales lift, multi-touch attribution and media mix modeling 
• Work with internal stakeholders (Product, PMM, GTM, Sales Leads) as well as advertisers’ internal analytics teams to understand methodologies and consult with clients on their impact on Reddit.
• Use measurement adoption to support and scale the adoption of Reddit’s priority ads products, increasing advertiser engagement and revenue.
• Support our go-to-market teams with your measurement expertise, industry knowledge, and insights.

Qualifications: 

• 6+ years of experience in advertising or analytics at a research vendor, measurement company, social media platform, media owner, client or agency partner – with at least 1 of those years working in digital advertising.
• Familiarity with attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion tracking, multi-touch attribution (MTA) and media mix modelling (MMM)
• Knowledge of North America Measurement solutions and norms. 
• A knowledge of experimentation and familiarity with the underlying statistical methods 
• A strong background in the execution, analysis, and presentation of quantitative advertising research. 
• Experience working closely with and developing relationships with analytics professionals at advertisers and advertising agencies
• Experience working with product management, go to market, and product marketing teams to bring new services and capabilities to life at a technology company
• Experience working at scale, managing multiple projects and clients simultaneously
• Preferred experience working with mid-market clients and sales teams
• Preferred experience working with online or direct-response oriented advertisers
• A working knowledge of advertising technology, including ad serving, targeting, optimization and relevant data flows
• Exceptional written and oral communication skills – you’re articulate and engaging

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform.

This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness.

You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact.

This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging.

What you'll do:

• Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field.
• Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance.
• Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization.
• Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale learning and serving: storage/retrieval for embeddings, feature pipelines, and APIs. Collaborate with ML/Ranking infra to ensure low-latency serving, high availability, and integration with MLOps systems.
• Drive Cross-Team Integration & Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics.
• Set Technical Bar & Mentor: Mentor senior to staff engineers, lead design reviews, steward technical decisions across the user understanding domain, and champion and drive engineering processes and best practices

Who you might be:

• You have at least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems.
• You have a track record of driving ambiguous, high-impact initiatives from concept to production, shaping both technical direction and execution.
• You are product- and impact-oriented: you care deeply about how your work moves real metrics (e.g., engagement, retention, revenue), not just model quality.
• You bring strong fundamentals in mainstream user understanding ML approaches (e.g., representation learning, behavioral modeling, user clustering), and understand their trade-offs in real-world systems.
• You are excited about the GenAI shift and have experience (or strong intuition) applying LLMs or foundation models to evolve existing systems,  going beyond incremental improvements.
• You think in systems, not just models: you consider data, training, evaluation, serving, and adoption as a cohesive whole, and design with end-to-end impact in mind.
• You influence beyond your immediate team: partnering effectively with product, infra, and other ML teams, and driving alignment across multiple stakeholders.
• You raise the technical bar: mentoring senior engineers, leading design reviews, and establishing best practices for building reliable, scalable ML systems.
• You are comfortable navigating trade-offs across quality, latency, cost, and safety, especially in large-scale, user-facing systems.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-remote, #LI-JS5

Team Description

Ad Safety is a growing team focusing on user safety and advertiser trust by building a robust, automated ecosystem that prioritizes Brand Suitability and Ads Integrity. This is achieved by deploying highly accurate automated ad review systems that vet content before it goes live, coupled with advanced brand safety classifications and controls that give brands granular agency over their ad adjacency along with ensuring Reddit standards are adhered to. By further integrating with trusted third-party verification partners, the platform not only solidifies confidence in its ad effectiveness but also creates a transparent, scalable environment designed to unlock significant revenue growth.

The team is expanding its Fraud counter-measures by consolidating the identification and enforcement of deceptive ads (Malware, Phishing, Scams) and Billing fraud into a centralized platform. Collecting signals across multiple surfaces, in addition to third party vendor integration, will allow for more effective measures to analyze coordinated efforts of bad actors and pre-emptive detection of malignant intent. 

Role Description

Reporting to the Ad Safety Engineering Manager, the person in this role will be the primary technical driver for the new Fraud detection system, working closely with Ad Review, Billing, Policy and other Reddit Safety teams to enhance overall systems. You will drive the long term strategy for the platform, setting measurable goals and taking overall ownership of a critical function in the Ads organization. 

This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the platform's technical direction in collaboration with other engineers, teams, and stakeholders. 

This role acts as both a technically adept deep coder and a force multiplier. It is responsible for working cross-functionally to help establish the long-term technical vision for Fraud Detection, ensuring our systems are highly available and capable of scaling with the marketplace. In this role you will lead large-scale projects through the entire software development lifecycle, from concept through implementation until delivery. 

What You’ll Do

• Steer: Work with the team to select, scope, and drive high-leverage projects that accelerate the development of Fraud Detection to help Reddit achieve its ambitious goals.
• Architect: Help define the 2+ year technical roadmap for the platform, translating complex business needs into a clear strategy for highly available and performant backend services.
• Build: Execute on a strategy to create world-class Fraud Detection systems.
• Amplify: Mentor, coach, and collaborate with other technical contributors, fostering a culture of empathetic technical excellence and proactive problem-solving.
• Collaborate: Work together with a variety of cross-functional teams, including Product Management, Policy and Legal, to ensure Fraud Detection meets the needs of all stakeholders.
• Evolve: Learn and improve technical and non-technical abilities, staying up-to-date on trends and best practices in the Fraud Detection space across the industry.

Qualifications

• Experience: 7+ years of software engineering experience, with a track record of leading large-scale technical projects that require cross-team and cross-functional collaboration.
• Backend Expertise: Strong experience in large-scale distributed systems and developing highly scalable and reliable backend services.
• Technical Ability: Expertise in at least one general-purpose programming language (e.g., Go, Python, Scala, Java, or C++) and ability to grow expertise in Python and Go.
• Leadership: Demonstrated ability to disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.
• Communication: Excellent communication skills employed to drive toward consensus, navigate disagreements, and influence decisions across the engineering organization.
• Agency: A bias for action. The ability to identify what needs to be done, take the initiative to make it happen without waiting for direction, and finish the swing.

Preferred Qualifications

• Direct experience as a Tech Lead or in a similar function.
• Previous success as part of an Ads team with a user base in the millions.
• Experience in Ads Fraud, Ad review or Ads Brand Safety
• Proven experience designing, building, and operating scalable platforms.
• Expertise in Python and/or Go.
• Prior experience in Fraud/Malicious actors space
• Proven track record of utilizing LLMs in production systems. 

Benefits: 

• Comprehensive Healthcare Benefits and Income Replacement Programs
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off
• Generous paid Parental Leave  
• Paid Volunteer time off

#li-remote

This role must be based out of one of our office hubs: New York, Los Angeles, San Francisco, or Chicago

Reddit is looking for a Measurement Lead to help our Mobile App advertisers succeed on our platform. This role will be an integral part of the Marketing Sciences team, and overall Revenue organization – driving our value proposition to our clients and their partners by continuously testing, learning and improving the power and performance of Reddit as a media platform. 

Responsibilities:

• Daily responsibilities will span advertising measurement execution, measurement strategy, client consultation at scale, while working closely with Reddit’s sales, product, and product marketing teams
• Leverage measurement results to drive business growth for our App-focused clients  - developing benchmarks, media & creative best practices, and refinement/optimization to audience and targeting strategy to improve efficiency and effectiveness.  
• Co-develop Reddit best practices - work and consult across a breadth of clients and measurement types including mobile measurement attribution, brand lift, conversion/sales lift, multi-touch attribution and media mix modeling 
• Work with internal stakeholders (Product, PMM, GTM, Sales Leads) as well as advertisers’ internal analytics teams to understand methodologies and consult with clients on their impact on Reddit.
• Support our go-to-market teams with your measurement expertise, industry knowledge, and insights.

Qualifications: 

• • 6+ years of experience in advertising or analytics at a research vendor, measurement company, social media platform, media owner, client or agency partner – with at least 1 of those years working in digital advertising.
  • Familiarity with attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion tracking, multi-touch attribution (MTA) and media mix modelling (MMM)
  • Knowledge of North America Measurement solutions and norms. 
  • A knowledge of experimentation and familiarity with the underlying statistical methods 
  • A strong background in the execution, analysis, and presentation of quantitative advertising research. 
  • Experience working closely with and developing relationships with analytics professionals at advertisers and advertising agencies
  • Experience working at scale, managing multiple projects and clients simultaneously
  • Preferred experience: Working with App-focused businesses and Mobile Measurement Partners (MMPs)
  • A working knowledge of advertising technology, including ad serving, targeting, optimization and relevant data flows
  • Exceptional written and oral communication skills – you’re articulate and engaging

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Team Description

Ad Safety is a growing team focusing on user safety and advertiser trust by building a robust, automated ecosystem that prioritizes Brand Suitability and Ads Integrity. This is achieved by deploying highly accurate automated ad review systems that vet content before it goes live, coupled with advanced brand safety classifications and controls that give brands granular agency over their ad adjacency along with ensuring Reddit standards are adhered to. By further integrating with trusted third-party verification partners, the platform not only solidifies confidence in its ad effectiveness but also creates a transparent, scalable environment designed to unlock significant revenue growth.

The team is expanding its Fraud counter-measures by consolidating the identification and enforcement of deceptive ads (Malware, Phishing, Scams) and Billing fraud into a centralized platform. Collecting signals across multiple surfaces, in addition to third party vendor integration, will allow for more effective measures to analyze coordinated efforts of bad actors and pre-emptive detection of malignant intent. 

Role Description

Reporting to the Ad Safety Engineering Manager, the person in this role will be the primary technical driver for the new Fraud detection system, working closely with Ad Review, Billing, Policy and other Reddit Safety teams to enhance overall systems. You will drive the long term strategy for the platform, setting measurable goals and taking overall ownership of a critical function in the Ads organization. 

This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the platform's technical direction in collaboration with other engineers, teams, and stakeholders. 

This role acts as both a technically adept deep coder and a force multiplier. It is responsible for working cross-functionally to help establish the long-term technical vision for Fraud Detection, ensuring our systems are highly available and capable of scaling with the marketplace. In this role you will lead large-scale projects through the entire software development lifecycle, from concept through implementation until delivery. 

What You’ll Do

• Steer: Work with the team to select, scope, and drive high-leverage projects that accelerate the development of Fraud Detection to help Reddit achieve its ambitious goals.
• Architect: Help define the 2+ year technical roadmap for the platform, translating complex business needs into a clear strategy for highly available and performant backend services.
• Build: Execute on a strategy to create world-class Fraud Detection systems.
• Amplify: Mentor, coach, and collaborate with other technical contributors, fostering a culture of empathetic technical excellence and proactive problem-solving.
• Collaborate: Work together with a variety of cross-functional teams, including Product Management, Policy and Legal, to ensure Fraud Detection meets the needs of all stakeholders.
• Evolve: Learn and improve technical and non-technical abilities, staying up-to-date on trends and best practices in the Fraud Detection space across the industry.

Qualifications

• Experience: 7+ years of software engineering experience, with a track record of leading large-scale technical projects that require cross-team and cross-functional collaboration.
• Backend Expertise: Strong experience in large-scale distributed systems and developing highly scalable and reliable backend services.
• Technical Ability: Expertise in at least one general-purpose programming language (e.g., Go, Python, Scala, Java, or C++) and ability to grow expertise in Python and Go.
• Leadership: Demonstrated ability to disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.
• Communication: Excellent communication skills employed to drive toward consensus, navigate disagreements, and influence decisions across the engineering organization.
• Agency: A bias for action. The ability to identify what needs to be done, take the initiative to make it happen without waiting for direction, and finish the swing.

Preferred Qualifications

• Direct experience as a Tech Lead or in a similar function.
• Previous success as part of an Ads team with a user base in the millions.
• Experience in Ads Fraud, Ad review or Ads Brand Safety
• Proven experience designing, building, and operating scalable platforms.
• Expertise in Python and/or Go.
• Prior experience in Fraud/Malicious actors space
• Proven track record of utilizing LLMs in production systems. 

Benefits: 

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off
• Generous paid Parental Leave  
• Paid Volunteer time off

#li-remote

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Reddit has a flexible first workforce!

The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. The Measurement Modeling team owns all the Machine Learning solutions for Ads Measurement, including Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, Modeled Conversion, and new Measurement Modeling Initiative. As critical and complex part, in Identity Modeling, we are building new advanced machine learning solutions, the space resides in intersection of ads stack that interacts with various upstream and downstream systems, it serves critical business needs for monetization and consumer as well, including Measurement & Reporting, Experimentation, Personalization, Delivery, and Safety etc, requires major XFN as well as cross team/org collaborations.

We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology. Our diverse group of engineers, product managers, data scientists, and ads specialists is excited to welcome you on board!

Minimum Qualifications:

• 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
• Demonstrated experience architecting and building ads measurement modeling solutions leveraging advanced machine learning techniques
• Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink)
• Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal)
• Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution

Responsibilities:

• Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models
• Design and train advanced ML models while ensuring accuracy, scalability, and compliance with privacy requirements, managing trade-offs between complexity, latency, and prediction quality
• Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost
• Partner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goals
• Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph
• Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-AK1

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default.

We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions.

We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining.

What You’ll Do

• Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals.
• Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback.
• Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit.
• Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic.
• Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces.
• Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops.
• Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows.
• Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving.
• Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact.
• Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs.

Who You Might Be

• 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models.
• Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.
• Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining.
• Experience building data pipelines and working with large-scale datasets.
• Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation.
• Experience shipping production-quality software, preferably in Python and/or Go.
• Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners.
• BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• Experience in the following areas is a plus:
  • Applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems.
  • Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls.
  • Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar.
  • Improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-remote

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Who We Are: 
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Senior Software Engineer, you will lead the development of a large-scale GenAI Platform at Reddit.

• Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.
• Designed and developed ML and Generative AI systems in cloud-based production environments at scale.
• Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
• Implement and operationalize agentic AI workflows with tool use using frameworks such as LangChain and LangGraph.
• Drive adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management.
• Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.
• Strong ownership mindset and platform thinking.
• Ability to lead AI platform delivery from concept to production.

Who You Might Be:

• 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Have experience operating orchestration systems such as Kubernetes at scale
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus
• Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch is a plus

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed.

We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them.

If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.

What You’ll Do

• Lead the team that architects and designs notifications relevance at Reddit.
• Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking. 
• Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
• Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
• Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
• Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
• Communicate your team’s work and set expectations with cross-functional stakeholders.
• Help your engineers identify career goals and create development plans to achieve them.
• Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.

You Have:

• 2+ years of experience building and managing engineering teams.
• 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
• Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
• Hands-on experience working with deep learning models, sequential features and real-time systems.
• Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
• Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
• Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
• Able to communicate and discuss complex topics with technical and non-technical audiences.
• Able to tackle ambiguous and undefined problems

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-remote, #LI-JS5

At Reddit we continue to grow our teams with the best talent. We're completely remote friendly.

Team Description:

The Data Science Team at Reddit is expanding, and we are looking for an experienced leader to head a team of talented data scientists focused on the Marketing & Business Development domain. Our core mission is to evolve Marketing & BD Data Science from ad-hoc reporting to a strategic data science partnership that scales Reddit’s marketing efforts, and to help product and marketing teams make data-driven, high-confidence decisions.

The team's work is centered around three strategic pillars:

• Data Foundations: Building and maintaining a canonical single source of truth for marketing performance and attribution, leveraging robust data foundations to power reliable campaign analyses, experimentation, and accurate Lifetime Value (LTV) modeling.
• Causal Measurement & Metrics: Ensuring consistent measurement of campaign quality and ROI by defining and deploying advanced causal decision frameworks and models.
• Decision-Making Insights: Functioning as a strategic partner to the Marketing organization, translating data into clear, actionable recommendations to guide budget allocation and identify high-value growth segments.

Responsibilities:

As a Data Science Senior Manager, you will lead a team that is crucial to Reddit's user growth strategy. You will:

• Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain.
• Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights.
• Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models.
• Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI.
• Drive Adoption: Drive the adoption of strategic and tactical recommendations based on deep product experience and data understanding to maximize our value to consumers.
• Ensure Data Quality: Take a keen interest in the collection and quality of underlying data, including overseeing work on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development.
• Enable Self-Service: Lead initiatives to enable analytics self-serve capabilities for cross-functional teams.

Required Qualifications: 

• You have experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
• You built, led and developed high performing product analytics teams before: ideally 5+ years of leadership experience as a people manager, leading a team of up to 10 data scientists. 
• Teams you have led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
• You have led initiatives to enable analytics self serve for cross-functional teams
• You excel at communicating to both technical and non-technical people
• You have an ability to understand nuanced complex concepts and systems, and explain them simply.
• You are proficient in SQL and Python/R for hands-on analysis. You can roll up your sleeves and work side by side with your team when needed
• You have experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving.
• You have a collaborative attitude and natural curiosity and strong evidence-backed product opinions

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Ads Content Understanding (ACU) is Reddit’s core commercial content understanding team for Ads. The team owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for:

• The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources).
• Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics.
• Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations.
• Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs.
• Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. 

We are looking for a Staff Machine Learning Engineer who will lead the Commercial Content Understanding roadmap for the Monetization org and act as the technical owner for ACU’s signals and ML systems. Roughly 50% of their time should be spent in technical leadership and mentorship (driving designs, standards, cross-team alignment), and 50% in direct hands-on work (modeling, pipelines, and debugging complex production systems). 

Responsibilities:

• Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft.
• Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices. 
• Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost)
• Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products.
• Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at Reddit scale.
• Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models.
• Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable, resilient MLOps pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production.

Required Qualifications:

• 7+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads. 
• Demonstrated Staff-level technical leadership: has driven architecture decisions, standards, and design reviews across multiple teams, and has aligned PMs, DSs, and engineers on shared ML systems or platforms without direct people-management authority.
• Excellent communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization. 
• Strong track record building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements). Experience with commercial or intent modeling is a strong plus.
• Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, prompt-based classifiers, LLM-generated labels distilled into smaller models), including managing quality, cost, and latency trade-offs.
• Deep experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment code end-to-end.
• Experience designing ML systems and pipelines: offline training, feature pipelines (batch/streaming), online serving, monitoring, and experimentation for high-traffic surfaces.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-Remote

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 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 diverse opinions from all across Reddit on any topics -  whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. To achieve this, our Search Recommendation systems need to be built for maintainability, scalability, and low latency in mind.  

Responsibilities:

• Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle
• Design/maintain ranking and retrieval services that run models in real-time
• Build scalable model-serving APIs, ensuring reliability, efficiency, and performance
• Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models
• Ensure pipelines and systems support high scale, low latency, and operational excellence
• Enable modeling with better systems, features, and deployment pathways

Qualifications:

• 8+ years of industry experience with a focus on search and recommendation systems.
• 6+ years of  experience in designing, building and iterating large-scale search relevance and infrastructure systems, handling end-to-end system development.
• Proven track record in delivering large and complex systems with big business impacts. 
• Knowledge and experience working with search systems (e.g. Lucene, Solr, ElasticSearch, Opensearch etc.).
• Demonstrated expertise at cross-functional collaboration - successfully shipped several large-scale projects with complex dependencies across teams.
• Proficient in object-oriented programming (Python, Golang).
• Experience in API design and integration with GraphQL, REST, HTTP, Thrift or gRPC.
• Experience of developing applications using large-scale data stack - e.g. Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, Redis etc.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-DB1 #LI-Remote

The Ads Foundations organization is responsible for the technical backbone powering Ads Monetization at scale. Within this ecosystem, efficient resource utilization is critical. Our responsibilities include:

• Tech Evolution & Efficiency: Bringing the Ads tech stacks into the future by architecting systems that are not only performant but financially sustainable.
• Cloud Resources & Data Observability: Designing and implementing the "source of truth" for cloud spend. We standardize best practices among vertical teams to make Cloud and Business impact transparent for every product launch.
• Cost of Revenue Engineering: We don't just track costs; we engineer solutions to optimize them. This role is responsible for the tooling and architectural patterns that allow teams to own their PnL, validate cost estimates, and forecast accurately.

We are seeking a Senior Staff Engineer to serve as the Cloud Resources Technical Owner for the Ads Domain. You will be the primary engineering point of contact for the Senior Director in Ads and Cloud Operations/Resources (COR & Opex) stakeholders. You will not just advocate for efficiency, you will architect the systems that make it inevitable.

What You’ll Do

Technical Vision & Strategy

• Define and drive the technical strategy for Cloud Resource management within Ad first, ensuring that cost accountability is built into the architecture of our systems.
• High-Fidelity Investment Modeling: Elevate cloud estimation from guesswork to a rigorous engineering discipline. You will lead the high-quality forecasting of new cloud investments and efficiency projects, designing data-driven models to validate technical ROI before builds happen
• Design and implement a roadmap for Cost Observability 2.0, moving beyond simple reporting to real-time, service/team-level spend attribution and automated anomaly detection.

Engineering & Tooling Leadership

• Design and build internal platforms that programmatically enforce PnL accountability. You will engineer (or collaborate with Core Infrastructure partners) to deliver the dashboards, alerts, and governance tools that every Ads team relies on to manage their cloud footprint.
• Architect automated frameworks for validating cost estimates and forecasting, replacing manual spreadsheets with data-driven software solutions.

Scale & Optimization

• Fight for observability by instrumenting deep telemetry into our cloud infrastructure. You will be hands-on in identifying inefficiencies (e.g., underutilized clusters, uncompressed data flows) and re-architecting critical paths for cost reduction.
• Lead the technical validation of vendor and 3rd-party tool integration, ensuring we extract maximum engineering value from every dollar spent.

Cultural & Technical Stewardship

• Act as a role model for the Ads domain and the wider company. You will set the standard for how engineering teams think about Cost as a Non Functional Requirement, eventually scaling these patterns to other domains.
• Partner with Finance and Engineering leadership to translate Cloud Spend into actionable engineering tasks (e.g., refactor Service X to use Spot instances).

Who You Might Be

• 10+ years of software engineering experience, with a strong focus on public cloud infrastructure (AWS/GCP/Azure) and large-scale distributed systems.
• Engineer-First Mindset: You are comfortable writing code (Go, Python, Java) to solve infrastructure problems. You don't just ask for a report; you build the API that generates it.
• Deep Cloud Expertise: You have mastery over Kubernetes, container orchestration, and cloud-native storage, understanding exactly how architectural choices impact the bottom line.
• Operational Excellence: Proven track record of building observability pipelines (Prometheus, Grafana, Datadog) that drive operational and financial alerts.
• Influential Leader: Skilled at driving clarity in ambiguous spaces. You can convince a Principal Engineer to refactor their service for cost efficiency because you can prove the technical and business value.

Bonus Points

• Experience building custom FinOps tooling or internal developer platforms.
• Background in performance engineering or capacity planning for high-traffic ad tech environments.
• Contributions to open-source projects related to cloud efficiency or observability.

Benefits: 

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off
• Generous paid Parental Leave  
• Paid Volunteer time off

#li-remote

The Home Experience team is responsible for one of the highest traffic pages on the platform: the Home feed on the Reddit apps and website. Home is both a destination and entrypoint for almost all Reddit journeys, and we know a smooth, intuitive, and delightful experience is critical to Reddit’s success and appeal. You’ll be working with the immense scale of hundreds of millions of users to help them explore Reddit and provide them with excellent feeds.

This role can be remote within the United States, Canada, or Europe, or can be a hybrid model if near an office. Offices are located in San Francisco, Los Angeles, Chicago, New York City, Toronto, London, Amsterdam, Madrid and Berlin. 

What You’ll Do:

• Be the technical lead for a high-caliber, inclusive team of engineers across the organization.
• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to design and build novel products and features that our users will love.
• Work alongside a team of thoughtful, fast-moving, and motivated engineers. Drive step-function improvements in developer workflows, implement best practices, and mentor engineers across the organization..
• Participate in the full development cycle: design, development, test, experimentation, analysis, and launch. You’ll be writing and reviewing code and design docs, giving feedback on product specs and mocks, and ensuring successful delivery of key projects.
• You will be a main driver in the planning, development, and implementation across Reddit’s Android architecture in conjunction with numerous partner teams, identifying and delivering on major opportunities.
• Enable a culture of metrics led execution, with a focus on operational excellence and system observability.
• Partner cross-functionally and with senior leadership on our strategic roadmap, driving engineering and product bets that will bring Home to the next level.

Who You Might Be:

• 8+ years of experience as a software engineer developing user-facing applications
• Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.
• Software development experience in Kotlin for Android, familiarity with GraphQL.
• Experience leveraging GenAI tools to increase software engineering productivity.
• Experience working with ML engineering teams and integrating ML solutions is a plus.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.
• BS degree in Computer Science, similar technical field of study, or equivalent practical experience.
• Strong focus on user experience and usability. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software. Experience with social is a huge plus.
• Entrepreneurial spirit. You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.
• Excellent communication skills. You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence.

Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.

• Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform.
• Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.
• Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.
• Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.
• Shape Reddit’s approach to an enterprise-grade RAG system
• Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.
• Own the end-to-end platform strategy from concept through production adoption and long-term evolution.
• Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.
• Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems.
• Partner across engineering, product, and leadership to align platform investments with company priorities and user needs.
• Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.
• Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.

Who You Might Be:

• 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.
• Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes.
• Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments.
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
• Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. 

As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders.

We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S.

Target Skills and Expertise

The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves:

• Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling.
• ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch).
• End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models.
• Data Pipelines: Experience orchestrating large-scale data generation and processing pipelines.
• Ads domain Experience: Experience in interaction of ranking model with rest of Ads systems like bidding, auction, retrieval etc
• Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial.

Role responsibilities:

The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have:

• People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth.
• Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives.
• Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
• Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
• Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
• Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques.

Required qualifications:

• At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will consider tech lead experience as well
• Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems.  Proven ability in training, evaluating, and deploying large-scale models.
• Technical Domain Knowledge:  Experience with Ads conversion modeling, ranking (heavy ranker experience) & recommendations experience is required. 
• Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.
• Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
• Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners

Experience with Ads conversion modeling is a plus

Perks and Benefits:

• 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
• Competitive salary and equity options
• Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
• Generous 401k matching
• Flexible vacation policy 
• Paid parental leave (4+ months)
• Family planning support
• Paid volunteer time off

#LI-AS1

The Search Recommendations & Relevance team at Reddit is building the next generation of search - one that goes beyond “10 blue links” to deliver real answers, perspectives and conversation from the world's largest corpus of human conversation. We power both Reddit Search and our AI-native Search experience, redefining how users discover and interact with information.

Redditors produce the most amazing content about every niche topic in the world – this underleveraged data coupled with modern advances in AI systems is presenting a unique opportunity to quickly build a new kind of search engine. As a Senior Staff, you will design and build a large-scale system that powers end-to-end search relevance at scale. You’ll  work across multiple areas of the stack, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, RAG etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Search scale to billions of users.

What You’ll Do

• Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience. 
• Deeply understand the Reddit search product and drive the vision for the search relevance team.
• Enhance core search retrieval and ranking, design and implement new search engine features,  build and scale search indexes, develop and test new pipeline components.  You will also deploy  ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process.
• Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges.
• Mentor and guide senior and staff engineers in the team.
• Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap

Who You Are

• 10+ years of industry experience with deep expertise in large-scale search and recommendation systems. 
• Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in  search relevance.
• Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.
• Experience working with LLM in production, including evaluation, tuning and deployment.
• In-depth knowledge and experience working with lexical and semantic retrieval systems.
• Proficiency in object-oriented programming (Python, Golang).
• Nice to have: experience building production Agentic AI frameworks.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-remote, #LI-JS5

Team description:

The Reddit Ads team is poised to innovate and grow rapidly like never before. This is a unique opportunity to join a high-performing team that will shape how we monetize the Reddit platform and help connect Redditors with brands they love. 

In this role you will envision & own the overall strategy for Reddit’s API ecosystem. You will evaluate opportunities to expand API capabilities to unlock new use cases that can scale our Advertisers. You will work closely with our partnership team to expand our partnership ecosystem, along with other Product & Engineering teams, and external customers. This position requires strong product sense, understanding of the partner ecosystems to scale an Ads business and technical knowledge & skills.  

Responsibilities:

• Product Strategy: Define and lead a bold, long-term vision and strategy for AI-powered platform capabilities and API experiences for the third-party (3P) ecosystem
• Customer Understanding: Provide product thought leadership by identifying partner and developer needs through deep customer insights, ecosystem feedback, and market research
• Identify opportunities: Identify and incubate new platform opportunities informed by customer and partner research, competitive analysis, and industry trends
• Bias for action: Drive the team towards execution breaking down the strategy to longer term roadmap and quarterly OKRs. Manage the product launch process and continuously monitor performance, iterating towards the north star goal. 
• Data-Driven decisions: Utilize data analytics and customer feedback to identify pain points, opportunities, and areas for improvement. Able to make trade-offs backed by a clear decisioning process. 
• Cross-Functional Collaboration: Build strong relationships and collaborate with engineering, Data science, UX, marketing and Sales teams to ensure alignment.  
• Communication: As a senior member of the Product Management team and the product owner, you’ll regularly communicate across functions and the entire ads team, including frequently presenting to C-level executives.

Qualifications:

• Experience: 6-8+ years of Product Management experience. 
• API expertise: Experience building platform capabilities for third-party (3P) ecosystems 
• Cross Functional Leadership: Proven experience working on large initiatives, across teams, and on highly cross-functional products
• Data-Driven Approach: Expertise in using data to drive decisions and business outcomes. You should be comfortable diving into analytics, building experiments, and iterating based on insights.
• Product Leadership: You have experience managing the full product lifecycle—from concept to execution collaborating with multiple teams—and can make tough prioritization decisions while balancing competing stakeholder needs.
• Strong Communication: You excel at collaborating across teams and can communicate complex ideas effectively to both technical and non-technical stakeholders, including executives.
   

Benefits:

• 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#L1-AS1

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Senior Software Engineer, Machine Learning Platform (Training Platform), you will be instrumental in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world.  You will deliver a self service ML platform that enables 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 training infrastructure at Reddit.
• Play a pivotal role in designing, building, and optimizing the infrastructure and tooling required to support large-scale machine learning workflows.
• Evolve the MLE experience, from provisioning interactive GPU environments through large-scale training, supporting on-demand and self-service workflows.
• Kubernetes Automation: Write custom Kubernetes Controllers and Operators to manage the lifecycle of interactive Jupyter workspaces and long-running ML training jobs, handle auto-idling, and ensure fault tolerance.
• GPU Orchestration: Work with the underlying compute team to ensure MLEs have efficient access to training hardware resources and handle resource contention gracefully.
• Developer Experience (DevX): Treat internal MLEs as your customers. Conduct user research, reduce friction in the "Idea-to-Prototype" loop, and standardize software environments (Docker images, Python dependency management).

Who You Might Be:

• 5+ years of software engineering experience, with a focus on Platform Engineering, ML Infrastructure, or Backend Systems.
• Deep Kubernetes Expertise: You know K8s beyond just "deploying pods." You understand CRDs, Controllers and the Operator pattern.
• Jupyter Ecosystem Knowledge: Experience customizing JupyterHub, JupyterLab extensions, or building similar interactive computing platforms.
• Strong Coding Skills: Proficiency in Python (for the ML ecosystem) and Go (for Kubernetes controllers/infrastructure tooling).
• GPU Experience: Hands-on practice with CUDA environments, GPU virtualization/containerization, and doing it all within Kubernetes.
• Cloud Provider Experience: Familiarity with both managed ML offerings (Vertex AI, Sagemaker, etc) and building custom ML components in AWS and/or GCP.
• Experience working with distributed training frameworks, including Ray and Kubernetes.
• Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems.
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Strong organizational & communication skills.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• Generous paid Parental Leave  
• Paid Volunteer time off

#LI-Remote

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Team
The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data. With a focus on performance, reliability, and scalability, we enable real-time access to high-quality data that supports a wide range of applications, including Content Understanding, Semantic, Lexical retrieval & GenAI applications. 

How You'll Have Impact

You’ll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production and going beyond incremental improvements to reimagine core platform capabilities. As part of a high-impact, cross-functional team, you’ll solve complex technical challenges to build scalable, reliable platforms that empower developers to efficiently ship critical ML features.

Languages: Go, Java, Python, or any object oriented programming language

Frameworks: Flink, Airflow, Spark for large scale batch & stream processing 

Databases: Familiarity with Vector, Lexical & Key-Value Databases 

Tools: Kubernetes, Docker, AWS, GCP

What You’ll Do

• Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval, and emerging GenAI applications.
• Partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences.
• Define best practices for observability, reliability, and operational excellence in large-scale distributed systems.
• Mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles.
• Collaborate with infrastructure, and ML teams to ensure the platform evolves to meet the needs of Reddit’s growing user base and diverse content ecosystem.

Who You Might Be:

• 10+ years of experience in software engineering, specializing in Indexing and Retrieval systems.
• 3+ years in technical leadership, architecting and scaling distributed systems in production environments.
• Deep expertise in large-scale data platforms, including batch indexing and stream processing.
• Proven experience designing and operating large-scale, low-latency retrieval services.
• Expertise in lexical and vector search retrieval technologies, such as Milvus, Vespa, or Elasticsearch. 
• Skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP.
• Adept at translating complex technical challenges into clear, actionable strategies.
• Strong communicator and mentor who leads through collaboration, influence, and technical excellence.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-Remote

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the foundational embeddings and infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Senior Engineering Manager, Unified Embeddings Platform, you will work lead our Embeddings Platform Team and be instrumental in architecting, implementing, and maintaining platform providing foundational ML embeddings  based on state of the art architectures such as large scale graph neural networks, foundational models, large scale sequence models, etc.  empowering all product verticals at Reddit to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You’ll partner with teams across Reddit infrastructure and ML modelling at the center of machine learning to enable machine learning engineers (MLEs) and data scientists (DSs) to improve the ML feature software development lifecycle.

• Lead the creation of foundational embeddings at Reddit leveraging state of the art architectures such as graph neural networks, transformer based sequence models, foundational models, etc.
• Lead the design and long-term evolution of Reddit’s Embeddings platform enabling all ML teams access, store and share embeddings
• Drive high-impact, high-leverage projects that align with Reddit’s broader engineering and business goals
• Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence
• Establish and champion best practices for the production, consumption, and governance of machine learning features
• Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
• Communicate your team’s work and set expectations with cross-functional stakeholders.

Who You Might Be:

• 4+ years of experience in people management
• 8+ years of work experience in a production software development environment
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Experience working on large-scale ML Systems serving 100s of millions of users
• Experience building self service platform enabling storage and sharing of large scale data and embeddings
• Experience with leading modelling teams powering the creation of foundational embeddings based on state of the art architectures
• Strong organizational & communication skills

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. 

In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. 

As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads.

What you’ll do

• Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance.
• Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue.
• Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments.
• Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams.
• Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics.
• Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action.
• Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques.

Requirements

• Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale
• Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline
• For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles
• For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles
• Advanced proficiency in statistical programming (Python or R) and SQL
• Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies
• Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
• Experience working in fast-paced, ambiguous environments with cross-functional teams
• Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

Reddit is continuing to grow our teams with the best talent. This role is completely remote-friendly. 

Ads power Reddit’s business. As a Senior Product Designer focused on Measurement, you will play a crucial role in shaping the systems and experiences that help advertisers send, understand, and act on the data that powers performance on Reddit. This includes areas like Pixel, Conversions API, partner integrations, signal quality, attribution, and measurement workflows that improve advertiser outcomes.

Your work will help advertisers build stronger and healthier integrations, making it easier for them to unlock better optimization, targeting, and reporting. You’ll design experiences that simplify technical complexity, increase advertiser confidence, and create clear value across a wide range of business sizes and sophistication levels. This work sits at the foundation of Reddit’s ads ecosystem and plays a critical role in helping businesses succeed.

What You’ll Do

• Be a strategic problem solver, identifying non-obvious opportunities to improve Reddit’s ads platform and ad experiences.
• Collaborate closely with product managers, engineers, researchers, data scientists, and other cross-functional partners to understand user needs, business goals, and technical constraints.
• Translate complex problems into elegant, scalable, and intuitive product experiences.
• Execute across every stage of the design lifecycle, from early concepts and systems thinking through detailed workflows and polished delivery.
• Drive alignment across diverse teams through strong exploration, storytelling, communication, and presentation to peers and leadership.

Who You Might Be

• 5+ years of industry experience in UX/UI design, with a strong portfolio showcasing your skills in designing for web and mobile.
• Comfortable with complexity, finding clarity in ambiguous situations, and simplifying complicated workflows.
• Demonstrated track record of partnering with product stakeholders, and direct product impact. Experience in ads or consumer social products is a plus.
• Strong communication skills while working closely with partners across the company.
• Humble, curious, and motivated to ship the best product.
• An inspired story-teller with strong written and presentation skills who is adept at bringing others along in their process.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City, or Chicago) our doors are open for you to come into the office as often as you'd like.

As a Senior Content Designer, you’ll be responsible for the written copy within the Reddit platform and influence the designs that define the Reddit experience. You'll partner with designers, researchers, product managers, engineers, community managers, legal advisors, and others across the organization to build engaging experiences for Reddit’s users, moderators, and communities. You’ll bring your expert writing skills to Reddit’s designs and create simple yet meaningful copy that improves experiences and reinforces the elements that make Reddit the unique platform it is today. Using design-thinking and a clear head for product strategy, you’ll help create one-of-a-kind experiences and features across the Reddit ecosystem.

What You'll Do

• Craft clear, concise, and consistent user interface copy that makes it easy and enjoyable for Reddit users to accomplish tasks and reach their goals.
• Work with Reddit’s Design Systems team to create content patterns, guidelines, and tooling that scales Content Design’s impact across the organization. 
• Advocate for design and content that “Remembers the human” and improves the Reddit experience for our users and communities.
• Share innovative ideas that will significantly improve user experience; using fresh thinking to solve problems and improve processes.

Who You Might Be

• An excellent writer with almost crazy attention to detail. You have strong opinions on sentence vs. title case, the oxford comma, and the difference between words like Next and Continue, Browse and Explore.  
• Someone with experience writing UI copy for product experiences who can write new copy, edit existing copy, and integrate feedback from multiple stakeholders to improve the end result.
• A strong problem solver who can be effective in situations with limited information, building a solution from first principles and communicating it to stakeholders.
• Excited to use and create new tools to improve workflows, output, and scale our work. 
• Comfortable with rapid iteration, A/B testing, and pivoting based on performance data.
• Exceptional storyteller with strong writing and presentation skills and the ability to synthesize complex ideas into compelling narratives for executive-level reviews.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

We are looking for a Sr. Director of Design to lead the core experience architecture of our platform. You will not only define a cohesive strategy across the Reddit consumer experience but also serve as a key pillar of the Reddit UX organization. You will be responsible for looking around the corners to forecast critical user needs and business needs, acting as a creative innovator and change driver to deliver significantly positive impact.

A primary focus of this role is leading a cohesive strategy across app navigation/architecture and visual UI elements that elevates the quality and efficiency of the entire org by enhancing design systems, and helping/inspiring users to create new content and systemize the content display for engaging consumption. 

Responsibilities:

• Strategic Leadership: Create and drive end-to-end UX strategy that aligns with Reddit’s brand identity and mission.
• Organizational Design & Scaling: Lead and manage a large, high-performing team of designers, including sr managers. 
• Cross-Functional (XFN) Impact: Drive org-wide initiatives with significant product enhancements for users and Reddit, partnering deeply with Engineering, Product, and Research.
• Operational Excellence: Own the quality of the user experience and the efficiency of the design organization by enhancing design systems and high-impact delivery workflows.
• Executive Influence: Effectively communicate and influence at all levels across different functions, including senior executives, to champion user-centric solutions
• Change Management: Exhibit a "Reddit-first" attitude, showing the ability to quickly change course or pivot functions to support rapidly changing business priorities.
• Mentorship & Growth: Foster a culture of "Great Performing Snoos" by developing talent and building high-performing teams that embody Reddit’s leadership principles.

Qualifications:

• 15+ years of relevant design experience. 
• Minimum 7+ years of previous experience managing a team(s) of 15+ designers
• A world-class portfolio demonstrating design strategy and systems for consumer-facing products at scale.
• Proven experience driving company-wide strategic initiatives and XFN roadmapping with significant business impact.
• Ability to build solutions from first principles in ambiguous situations and elevate the performance of the entire Leadership Team.
• A strong sense of user empathy.
• Humble, driven, and motivated to ship the best product.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave