Greenhouse ·
full-timeSenior Staff Machine Learning Engineer, Ads Ranking
Reddit · Remote - United States
Education
- Level: Bachelor's degree
Key Skills
Notes
['100% remote', '9+ years experience required']
Experience required
9-9 years experienceAbout 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 on enhancing model quality and velocity rather than building general infrastructure. Responsibilities Develop advanced ML models and 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 model outcomes and 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 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. Ability to design guardrails and evaluations for autonomous or semi‑autonomous workflows. 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. Eligibility No specific degree, course, specialization, or graduation year requirements are mentioned.
Skills for this role
| Role | Senior Staff Machine Learning Engineer, Ads Ranking |
|---|---|
| Company | |
| Location | Remote - United States |
| Compensation | Not disclosed |
| Posted | 2026-10-01 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Staff Machine Learning Engineer, Ads Ranking at Reddit: frequently asked questions
- Who can apply for the Senior Staff Machine Learning Engineer, Ads Ranking role at Reddit?
- The listing asks for Bachelor's degree; 9-9 years of experience.
- What skills does the Senior Staff Machine Learning Engineer, Ads Ranking role require?
- The listing highlights Python, Claude, Cursor, Machine Learning, AI-assisted development tools. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Reddit has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Staff Machine Learning Engineer, Ads Ranking position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote - United States as the location.
- What is the application deadline?
- Reddit has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Staff Machine Learning Engineer, Ads Ranking role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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