Senior Staff ML Engineer - GenAI Feed Relevance (Remote)

Fdetimes; United States; Remote; USD 266,000 - 372,000; Full time

Benefits offered by this job

Healthcare benefits

401k with employer match

Global benefit programs

Family planning support

Gender-affirming care

Mental health & coaching

Flexible vacation

Parental leave

Job summary

Reddit is seeking a Senior Staff Machine Learning Engineer for Feed Relevance to drive GenAI-powered recommendations. You will shape core architectures behind feed ranking and personalized experiences for tens of millions of users.

You will set technical direction across Relevance and Feeds, mentor engineers, and partner with design, product, and data teams to deliver impactful solutions at scale. A deep focus on user experience and system reliability is essential.

Qualifications

• 10+ years of industry experience building systems for relevance driven products.
• Subject matter expert in relevance, recommendation, and ML systems.
• Deep understanding of building sustainable software at scale.
• Influences technical direction and partners with design, product, data teams.
• Focus on user experience, usability, scalability, reliability, and quality.

Responsibilities

• Deliver on technical initiatives with significant company-wide impact.
• Set technical direction for Relevance and Feeds teams across orgs.
• Collaborate with management on goals, planning, and risk reduction.
• Mentor and grow senior and staff engineers.
• Foster a strong, healthy engineering culture.

Skills

Relevance

Recommendation

ML systems

Large-scale systems

Cross-functional collaboration

User experience

Communication

Empathy

Job description

Reddit is seeking a Senior Staff Machine Learning Engineer for Feed Relevance to drive GenAI-powered recommendations. You will shape core architectures behind feed ranking and personalized experiences for tens of millions of users.

You will set technical direction across Relevance and Feeds, mentor engineers, and partner with design, product, and data teams to deliver impactful solutions at scale. A deep focus on user experience and system reliability is essential.