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RedditRedditUnited States

Senior Machine Learning Engineer, Safety

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.

217k – 303k/yr
Remote5+ YOEML Engineering

About the role

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.

Skills

PythonTensorFlowPyTorchhugging face transformersray trainingpytorch distributednatural language processingDeep LearningLLMsDistributed Trainingdata preprocessingtokenizationEmbeddingslanguage modeling

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