Reddit - Senior Machine Learning Engineer, Safety
Requirements
• 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 • Pay Transparency: • 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 employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. • To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. • The base salary range for this position is: • $216,700 - $303,400 USD • In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. • During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
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.
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