# Staff Machine Learning Engineer, Consumer

**Company**: Reddit
**Location**: Remote - United States
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $230,000-$322,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/reddit/jobs/7747244?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_00d8459f-974

## Description

Reddit is seeking a Staff Machine Learning Engineer to help drive the next generation of Reddit's ML ecosystem across recommendations, search, messaging, and foundational AI systems.

The successful candidate will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains.

Responsibilities:

- Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions

- Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding

- Drive measurable impact on user engagement, discovery, and long-term value

- Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities

- Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit's ML ecosystem at the cutting edge

- Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment

- Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing

- Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making

Requirements:

- 7+ years of experience building, deploying, and operating machine learning systems in production

- Deep understanding of machine learning methods, spanning classical approaches and modern deep learning

- Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers

- Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming

- Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring

- Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions

- Track record of driving measurable impact through applied machine learning in real-world products

Preferred Qualifications:

- Subject matter expertise in one of the following domains: recommender systems, search systems, content understanding

- Familiarity with distributed systems and large-scale data processing frameworks

- Experience working with real-time systems and low-latency production environments

- Experience with LLM/GenAI techniques

- Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations

- Advanced degree in Computer Science, Machine Learning, or related quantitative field

Benefits:

- Comprehensive Healthcare Benefits and Income Replacement Programs

- 401k with Employer Match

- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

- Family Planning Support

- Gender-Affirming Care

- Mental Health & Coaching Benefits

- Flexible Vacation & Paid Volunteer Time Off

- Generous Paid Parental Leave

## Skills

### Required
- Machine Learning
- Deep Learning
- TensorFlow
- PyTorch
- Hugging Face Transformers
- Python
- Golang

### Nice to have
- Recommender Systems
- Search Systems
- Content Understanding
- Distributed Systems
- Large-scale Data Processing Frameworks
- Real-time Systems
- Low-latency Production Environments
- LLM/GenAI Techniques

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/reddit/jobs/7747244?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)