Senior Staff Machine Learning Engineer, Ads Ranking

9+ years of experience in ML engineering, applied ML, or a related field, with substantial production impact.

Senior Staff-level technical leadership and a record of influencing direction across teams.

Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation.

Concrete examples of using agentic AI or AI coding tools to produce better ML outcomes—not just faster code generation.

Ability to design guardrails and evaluations that make autonomous or semi-autonomous workflows trustworthy.

Strong coding ability in Python and fluency with modern ML frameworks and data tooling.

Clear, concise communication and a collaborative, low-ego approach to technical leadership.

Perks and Benefits:

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

Competitive salary and equity options

Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)

Generous 401k matching

Flexible vacation policy

Paid parental leave (4+ months)

Family planning support

Paid volunteer time off

#LI-AS1

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.

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