Senior Machine Learning Engineer, Safety

Reddit, Inc.

Machine Learning Engineer focused on developing AI solutions for safety teams at Reddit. Collaborating with cross-functional groups to implement advanced ML models for user safety.

Posted 7/20/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $216,700 - $303,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning models, particularly in natural language processing, while ensuring ethical AI practices and collaboration across teams. Proficient in optimizing training pipelines and model performance using advanced deep learning frameworks.

Highest-signal resume keywords

Machine Learning EngineeringNatural Language ProcessingPython ProgrammingDeep Learning FrameworksDistributed Training Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning ModelsNatural Language ProcessingDeep LearningData PreprocessingTokenizationEmbeddingsLanguage Modeling TechniquesModel EvaluationPerformance AnalysisOptimization

Soft Skills

Communication SkillsCollaboration SkillsEntrepreneurial SpiritSelf-MotivationBias Towards Action

Tools & Technologies

TensorFlowPyTorchHugging Face TransformersRay TrainingPyTorch Distributed

Industry Keywords

Ethical AI PrinciplesScalable AI SolutionsModel ArchitecturesPerformance OptimizationResearch Advancements

Tech Stack

Tools & technologies

PythonPyTorchRayTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 environments.

Benefits

Comp & perks

medical, dental, and vision insurance
401(k) program with employer match
generous time off for vacation
parental leave