# Senior Machine Learning Engineer, Safety

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $217k – $303k/yr
**Experience:** 5+ years
**Skills:** Python, TensorFlow, PyTorch, hugging face transformers, ray training, pytorch distributed, natural language processing, Deep Learning, LLMs, Distributed Training, data preprocessing, tokenization, Embeddings, language modeling
**Posted:** 2026-07-20

> Build, train, and optimize large language models and ML systems to scalably enforce Reddit's community rules and keep users safe. Requires 5+ years MLE experience with NLP, deep learning frameworks, and distributed training.

## Job Description

## Responsibilities
- Design, develop, optimize and deploy ML models, including large language models, for various natural language processing tasks.
- Implement and maintain training pipelines, leveraging distributed training and optimizing for performance and efficiency.
- Collaborate with cross-functional teams to gather requirements, define model architectures and iterate on model development.
- Conduct model evaluations, performance analysis, and optimization to improve model accuracy and reduce biases.
- Stay up-to-date with the latest research and advancements in the field of natural language processing, multimodal signals, and large language models.
- Contribute to the development of best practices, guidelines, and ethical AI principles for responsible ML development and deployment.

## Required Qualifications
- 5+ years of relevant MLE experience in natural language processing, deep learning, and AI model development.
- Strong background in Python programming and deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Expertise in distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources.
- Proficiency in data preprocessing, tokenization, embeddings, and language modeling techniques.
- Passion for developing scalable, well-designed, and responsible AI solutions that positively impact society.
- Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams.
- Entrepreneurial spirit, self-motivation, and a bias towards action in fast-paced environment.

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