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Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI): Building scalable machine learning infrastructure and end-to-end notification pipelines for relevance, targeting, ranking, and personalization across push, email, and in-app channels with an accent on recommender systems, distributed systems, and production ML serving. Focus on designing experimentation frameworks, deploying high-scale models, integrating event-driven infrastructure, and solving complex personalization challenges for millions of users.
Location: San Francisco, CA; full-time telecommuting is an option. The posting and compensation information are for U.S.-based roles.
Base salary: $230,000.00–$322,000.00 USD per year, plus potential equity and, depending on the position, commission.
Company
Reddit operates a large-scale online community platform built around user-generated discussions, interests, and communities.
What you will do
- Design, build, and maintain scalable ML infrastructure for notification relevance, targeting, ranking, and personalization across push, email, and in-app channels.
- Develop end-to-end notification pipelines covering data ingestion, feature computation, model training, evaluation, deployment, and online serving.
- Collaborate with data scientists, product managers, and engineers to define requirements and deliver notification solutions.
- Design and implement experimentation frameworks, including A/B testing and multi-armed bandits.
- Mentor engineers and provide technical guidance on machine learning engineering, distributed systems, and ML infrastructure.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline.
- Five years of experience in the offered role or a related occupation.
- Experience designing large-scale software systems and high-scale ML recommender systems.
- Object-oriented programming with Python, Golang, or Java, and model development with PyTorch or TensorFlow.
- Experience with APIs, distributed storage and caching, messaging systems, workflow orchestration, analytics platforms, and observability tools.
- Experience designing, running, and analyzing A/B experiments to optimize system performance.
Culture & Benefits
- Comprehensive healthcare and income replacement programs.
- 401(k) with employer match.
- Global benefits supporting workspace, professional development, caregiving, family planning, and mental health.
- Gender-affirming care and coaching benefits.
- Flexible vacation, paid volunteer time off, and paid parental leave.
Hiring process
- Submit a resume with references through the application process or by email.
- Some interviews may be recorded, transcribed, and summarized by AI; candidates can opt out before scheduled interviews.
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