6 дней назад
Senior Staff Machine Learning Engineer (AI)
292 500 - 409 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Machine Learning Engineer (AI): Developing advanced machine learning models and agentic workflows for designing, training, evaluating, and improving models with an accent on modeling quality, experimentation, and AI-assisted engineering. Focus on building evaluation harnesses, optimizing data and feature workflows, designing trustworthy autonomous processes, and driving modeling standards across teams.
Location: Remote - United States
Salary: $292,500–$409,500 USD base salary per year, plus equity and potential commission depending on the position.
Company
Reddit operates a large community platform built around shared interests, conversations, voting, and user-generated content.
What you will do
- Develop advanced machine learning models and agentic workflows for model design, training, evaluation, and improvement.
- Use Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, test hypotheses, automate analysis, and improve experiments.
- Build reliable workflows for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment reporting.
- Design evaluation harnesses covering 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 with user and business outcomes.
- Set technical direction across teams, mentor engineers, and improve modeling rigor and AI-assisted engineering practices.
Requirements
- 9+ years of experience in ML engineering, applied ML, or a related field with substantial production impact.
- Senior Staff-level technical leadership and demonstrated influence on direction across teams.
- Deep expertise in data, objectives, architectures, optimization, evaluation, and experimentation.
- Hands-on experience using agentic AI or AI coding tools to improve machine learning outcomes.
- Ability to design guardrails and evaluations for trustworthy autonomous or semi-autonomous workflows.
- Strong Python skills, fluency with modern ML frameworks and data tooling, and clear collaborative communication.
Culture & Benefits
- 100% remote work opportunity for U.S.-based employees, with optional hybrid or onsite work at offices in New York, San Francisco, Los Angeles, and Chicago.
- Medical, dental, and vision coverage.
- Competitive equity options and 401(k) matching.
- Home office setup support and a flexible vacation policy.
- Paid parental leave of four or more months, family planning support, and paid volunteer time off.
Hiring process
- Some interviews may be recorded, transcribed, and summarized by AI; candidates can opt out before scheduled interviews.
- Interview recordings are deleted promptly after a hiring decision.
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