Senior Staff Machine Learning Engineer, Ads Ranking

Reddit, Inc.

. Develop advanced ML models and agentic workflows that help teams design, train, evaluate, and improve them .

Posted 9/15/2026full-timeRemote • United StatesSenior💰 $292,500 - $409,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Machine Learning Engineering, focusing on advanced model development, evaluation, and optimization. Proven ability to lead technical direction, mentor teams, and enhance AI-assisted workflows for impactful business outcomes.

Highest-signal resume keywords

Machine Learning EngineeringTechnical LeadershipPython ProgrammingAI Coding ToolsModel Evaluation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningModel DevelopmentHyperparameter OptimizationError AnalysisData AnalysisFeature DevelopmentArchitecture ComparisonExperimentationEvaluation DesignAgentic AI

Soft Skills

Clear CommunicationCollaborative LeadershipMentoring

Tools & Technologies

ClaudeCursorML FrameworksData Tooling

Industry Keywords

Model OutcomesReproducibilityCost AnalysisLatency MeasurementAutonomous Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop advanced ML models and agentic workflows that help teams design, train, evaluate, and improve them
Use Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments
Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts
Design evaluation harnesses measuring model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency
Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes
Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering

Requirements

What you’ll need

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

Benefits

Comp & perks

100% remote opportunity
Competitive salary and equity options
Comprehensive health benefits (medical, dental, vision)
Workplace perks, including home office setup stipend
Generous 401(k) matching
Flexible vacation policy
Paid parental leave (4+ months)
Family planning support
Paid volunteer time off
Interview recording, transcription, and summarization opt-out opportunity
Reasonable accommodations for qualified individuals with disabilities and disabled veterans