Note: The job is a remote job and is open to candidates in USA. Reddit is a community of communities built on shared interests, passion, and trust, and is home to open and authentic conversations on the internet. The Senior Staff Machine Learning Engineer will define and accelerate the use of agentic AI to improve machine learning models and modeling workflows, while providing technical leadership across modeling, evaluation, experimentation, and AI-assisted engineering.
Responsibilities
- 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
Skills
- 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
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- 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
- Equity in the form of restricted stock units
- Commission, depending on the position offered
- Medical, dental, and vision insurance for U.S.-based employees
- 401(k) program with employer match
- Generous time off for vacation, and parental leave
Company Overview
Company H1B Sponsorship