Senior Staff Machine Learning Engineer, Ads Ranking

Details

Reddit is seeking a Senior Staff Machine Learning Engineer to define and accelerate the use of agentic AI in machine learning models and modeling workflows. The role focuses on improving model quality and development velocity across the organization rather than building general infrastructure. The engineer will provide technical leadership across the modeling loop and use AI-assisted development systems such as Claude, Cursor, and comparable tools.

Responsibilities

• Develop advanced machine learning 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 workflows for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts.
• Design evaluation harnesses that measure model outcomes and agent or 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 standards for modeling rigor and AI-assisted engineering.

Requirements

• 9+ years of experience in machine learning engineering, applied machine learning, or a related field, with substantial production impact.
• Senior Staff-level technical leadership experience and a record of influencing direction across teams.
• Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation.
• Concrete experience using agentic AI or AI coding tools to produce better machine learning outcomes, not only 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 machine learning frameworks and data tooling.
• Clear, concise communication and a collaborative, low-ego approach to technical leadership.

Benefits

• 100% remote opportunity in the United States.
• Hybrid or onsite work preference available at offices in New York, San Francisco, Los Angeles, and Chicago.
• Competitive salary and equity options.
• Comprehensive medical, dental, and vision benefits.
• Workplace perks, including a home office setup stipend.
• Generous 401(k) matching.
• Flexible vacation policy.
• Paid parental leave of four or more months.
• Family planning support.
• Paid volunteer time off.
• The role is eligible for a base salary of $292,500–$409,500 USD, plus equity in the form of restricted stock units and, depending on the position offered, potentially commission.
• Interview recording, transcription, and summarization may be used for select roles and locations, with the option to opt out before scheduled interviews.