Staff Machine Learning Engineer, Ads ML Efficiency
Remote role where the employee must remain based in a particular country.
Listed for United States
From the listing details: Source listing states candidate location: "Remote - United States"
Employer listed it 4 days ago · Added 4 weeks ago
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
$230k to $322k per year
Location
Listed for United States
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
No worries: you can work remotely from anywhere in the US or Canada.
- Contract
We will use this information to evaluate your application for employment or an independent contractor role, as applicable.
- Experience asked for
- Not mentioned in the advert
- Pay
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.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote - United States"
- Job description states: "U.S.-based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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 .
Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada.
About the Team
The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem.
Responsibilities
Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
Build benchmarking frameworks and performance dashboards for training and serving systems.
Optimize distributed training infrastructure, data pipelines, and model serving architectures.
Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.
Drive technical strategy for ML platform scalability, reliability, and cost efficiency.
Qualifications
Required
BS, MS, or PhD in Computer Science or a related field.
5+ years of software engineering experience.
Strong proficiency in Python
Profiency in at least one systems language (Go, C++, Rust, or Java) preferred
Experience building distributed systems at scale.
Experience with machine learning infrastructure, training systems, or model serving platforms.
Deep understanding of performance engineering and systems optimization.
Strong debugging and profiling skills.
Preferred
Requirements
- ·BS, MS, or PhD in Computer Science or a related field.
- ·5+ years of software engineering experience.
- ·Strong proficiency in Python
- ·Profiency in at least one systems language (Go, C++, Rust, or Java) preferred
- ·Experience building distributed systems at scale.
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
- ·Group Personal Pension Scheme with Employer match
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Reddit, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 26d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
$230k to $322k per year · You'll be taken to the employer's careers page.