Senior Machine Learning Engineer, Safety

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. About the Role: The Safety ML team is hiring a Machine Learning Engineer to build and iterate on the next generation of safety systems at Reddit. In this pivotal role, you will be responsible for developing, training, and optimizing state-of-the-art large language models (LLMs) in order to scalably and efficiently support the enforcement of Reddit Rules. You will be partnering closely with other Safety teams (Operations, Engineering, Product, Data Science) at Reddit to identify and build solutions that will help keep users safe as Reddit grows. 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 environmen

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Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based emplo #J-18808-Ljbffr EngineersOfAI