About Reddit
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to some of the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With more than 100,000 active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
About the Role
We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage—enhancing model quality and velocity—rather than building general infrastructure.
As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems such as Claude, Cursor, and comparable tools to make model development faster, more rigorous, and significantly more effective across the organization.
Why Join Us?
This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the latest agentic AI technologies to multiply team impact, Reddit would like to hear from you.
What You’ll Do
- Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them.
- Use tools such as 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 that measure both 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.
Required Qualifications
- 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, with four office locations available for hybrid or onsite work preferences in New York, San Francisco, Los Angeles, and Chicago.
- Competitive salary and equity options.
- Comprehensive health benefits including medical, dental, and vision coverage.
- Workplace perks such as a home office setup stipend.
- Generous 401(k) matching.
- Flexible vacation policy.
- Paid parental leave of 4+ months.
- Family planning support.
- Paid volunteer time off.
Compensation
Salary: $292,500 – $409,500 USD per year
This is the base salary range for the position. 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, may also be eligible to receive a commission.
Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, a 401(k) program with employer match, generous time off for vacation, and parental leave.
Final offer amounts are determined by multiple factors, including skills, depth of work experience, relevant licenses and credentials, and other job-related considerations.
