Staff Machine Learning Engineer, App Ads Modeling

Work from home

Remote role where the employee must remain based in a particular country.

United States only

From the listing details: Source listing states candidate location: "Remote - United States"

Employer listed it yesterday · Added 5 weeks ago

Been open since 5 weeks ago, still being checked, but it has been live a while.

Salary

$230k to $322k per year

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Lead

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: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
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.

Before you apply

Experience: employer states

Written as a nice-to-have

“While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply.”

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

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 .

Reddit has a flexible first workforce!

We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.

The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org.

Responsibilities:

Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking

Develop and optimize features including embeddings, contextual signals, and cross-session behavior

Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis

Mentor other MLEs and contribute to modeling best practices across the org

Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)

Required Qualifications:

7+ years of industry experience, including several years in applied ML roles

Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)

Strong background in recommendation systems, ads ranking, or similar domains

Experience working with large-scale datasets and complex feature pipelines

Strong problem-solving and experimentation skills

State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)

Knowledge about Recsys or Ads funnel

Track record of delivering high-impact models in production settings

Comfort collaborating with infra and data teams on feature serving and training pipelines

Preferred Qualifications:

Experience with conversion modeling, app ads, or performance/brand ads

Experience in ads marketplaces at peer companies

Publications, patents, or industry contributions in applied ML or ranking systems

Requirements

·7+ years of industry experience, including several years in applied ML roles
·Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)
·Strong background in recommendation systems, ads ranking, or similar domains
·Experience working with large-scale datasets and complex feature pipelines
·Strong problem-solving and experimentation skills

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

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 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.