Pay
Higher than most similar jobs
$293K–$410K against $166K–$240K, the middle half of what similar US postings state.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Senior Staff Machine Learning Engineer, GenAI Platform
Remote - United States
Open 6 months, first seen by us 207 days ago- Pay
USD 292,500–409,500/year · BaseAnnual period assumed — pay source
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.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote - United States
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDefine the architecture and operating model for the GenAI platform
Drive strategy for a unified LLM Gateway for internal and external models
Set direction for rate limits, intelligent failover, and production resilience
Drive MLOps and LLMOps standards across CI/CD, testing, and evaluation
Establish strategy for agentic AI workflows and tool-use patterns
From the employer’s posting
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.
Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.
Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.
Benefits in the posting
Full benefits wording- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
- Pay Transparency:
- 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:
From the employer’s posting.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 207 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026207 days ago
- Recorded sightings
- 373
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 207
Up longer than most. Similar jobs usually come down between day 7 and day 71.
Well past Reddit’s usual: its jobs come down by about day 48.
From 4,682 similar postings that came down, and 33 of Reddit’s. Coming down is not always a hire.
Reddit is hiring
43 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Kubernetes
- Terraform
- Go
- GCP
- Google Cloud Storage
Where the posting names them
- 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
- 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.
- 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
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About Reddit
- People
- About 2,555 in 2025, up 14% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as RDDT.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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 130 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Remote - United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.