Senior ML Engineer - Remote, Ads Ranking & RL

EngineersOfAI; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Comprehensive Healthcare Benefits and

401k with Employer Match

Global Benefit programs

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid VolunteerTime

Generous Paid Parental Leave

Job summary

Reddit is seeking a Senior ML Engineer to design, train, and deploy cutting-edge models powering advertising ranking and optimization. You will lead feature representations, embeddings, and large-scale experiments, collaborating with product and data teams to deliver scalable, reliable systems.

The role emphasizes end-to-end model lifecycle ownership, production readiness, and mentorship across the ML team, with full-time telecommuting as an option.

Qualifications

• Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline.
• 3 years of experience in the job offered or related occupation.

Responsibilities

• Design, train, and deploy advanced ML models for large-scale online advertising.
• Lead feature representations, embeddings, and cross-session user behavior modeling.
• Oversee end-to-end model lifecycle, experimentation, deployment, and monitoring.
• Collaborate with product, data, and infra teams to implement scalable modeling solutions.
• Provide technical leadership and mentorship to ML engineers.

Skills

Python

Java

Scala

C++

Go

Rust

ML frameworks

Statistics

Experiment design

Data processing

Containerized systems

Education

Master's degree in Computer Science/Engineering

Tools

TensorFlow

PyTorch

Job description

Reddit is seeking a Senior ML Engineer to design, train, and deploy cutting-edge models powering advertising ranking and optimization. You will lead feature representations, embeddings, and large-scale experiments, collaborating with product and data teams to deliver scalable, reliable systems.

The role emphasizes end-to-end model lifecycle ownership, production readiness, and mentorship across the ML team, with full-time telecommuting as an option.