Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and

authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.

With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s

largest sources of information. For more information, visit www.redditinc.com.

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

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the

position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to

U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for

vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We

set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage

growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant

licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You

will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and

Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you

choose to share with us. We will use this information to evaluate your application for employment or an independent contractor

role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes.

We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will

handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential

Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse

communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and

disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview

process, please let your recruiter know.

Role

Senior Software Engineer, GenAI Platform

Tags for this job

Safety

Similar Jobs

Senior AI/ML engineer

Flo Health•London

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior Software Engineer with deep expertise in AI/ML infrastructure to join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What you’ll do * LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x * Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks * Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable, reproducible evaluation data * Infrastructure: maintain Terraform-managed AWS infrastructure (EKS, S3, IAM), Databricks AI Gateway, and CI/CD pipelines (GitHub Actions) with evaluation gates and progressive rollout * Cross-Functional Impact: collaborate with Product, Security, Analytics, and Medical teams, develop internal SDKs and APIs consumed by 5+ teams, and engage directly with technology partners on pre-release capabilities Experience and skills Must have: * Engineering maturity: 7+ years of software engineering, 4+ years focused on ML/AI platforms * LLM experience: recent hands-on work with at least one of: fine-tuning, prompt engineering, LLM evaluation, or model serving * Technical stack: strong Python across production services and data pipelines, data engineering fundamentals (Spark, Delta tables, Parquet) * Platform and infrastructure: Databricks (MLflow, Unity Catalog, Model Serving), AWS (EKS/Kubernetes, IAM), Terraform, GitHub Actions * Cross-domain flexibility: comfort working across ML, data engineering, and infrastructure. You don’t need to be expert in all three, but you contribute wherever the team needs it Nice to have: * LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) * ML data engineering: synthetic data generation, evaluation dataset design, annotation pipelines * Healthcare, regulated industry, or safety-critical AI systems experience * Prompt optimisation frameworks (DSPy or similar), feature stores (Tecton) #LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £120,000—£150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: * Competitive salary and annual reviews * Opportunity to participate in Flo’s performance incentive scheme * Paid holiday, sick leave, and female health leave * Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents * Accelerated professional growth through world-changing work and learning support * In-person collaboration and work in a hybrid model, with 3 days per week spent in the office * 5-week fully paid sabbatical at 5-year Floversary * Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.

Deadline: Aug 16Posted: Jun 26

Senior Staff Machine Learning Engineer, GenAI Platform

Reddit•Remote - United States

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. 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 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500—$409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Deadline: Aug 17Posted: Jun 30

BE Platform

Senior Software Engineer - AI Platform Team

Coinbase•Remote - USA

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the AI Platform team within the Platform group, you'll build and operate the LLM and agent infrastructure that every team at Coinbase depends on. This team owns the company's single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve. You'll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization. What you'll do: * Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway * Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent * Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide * Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities * Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production agents * Shape applied AI strategy by embedding with teams to build production agents, applying fine-tuning and traditional ML where it outperforms prompting Required Skills and Experience: * 5+ years of software engineering experience with demonstrated expertise building ML/AI infrastructure, LLM systems, or distributed platform services at scale * Demonstrated ability to lead multi-quarter initiatives end-to-end, from technical design through production operation, with measurable platform-wide impact * Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers * Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems * Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Public Blog Posts: * NodeSmith: AI-Driven Automation for Blockchain Node Upgrades * Making Smarter Decisions, Faster with AI at Coinbase * CB-GPT - The opportunity and the vision for GenAI at Coinbase * Lessons from launching Enterprise-grade GenAI solutions at Coinbase * AWS re:Invent 2025 - Scaling support, compliance, & productivity with conversational AI at Coinbase Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $186,065—$218,900 USD * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Deadline: Aug 16Posted: Jul 13