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Reddit

Reddit is an online platform utilized by thousands of communities to connect and converse about a wide variety of topics, including TV and movie fan theories, s

Staff Research Engineer, Pre-training Science

Location

United States

Posted

131 days ago

Salary

$230K - $322K / year

Seniority

Lead

Postgraduate Degree7 yrs expEnglishAWSDistributed SystemsPythonPyTorch

Job Description

Staff Research Engineer, Pre-training Science

Reddit

• Architect and validate rigorous Continual Pre-Training (CPT) frameworks, focusing on domain adaptation techniques that effectively transfer Reddit’s knowledge into licensed frontier models. • Design the "Science of Multimodality": Lead research into fusing vision and language encoders to process Reddit’s rich media (images, video) alongside conversational text threads. • Formulate data curriculum strategies: scientifically determining the optimal ratio of "Reddit data" vs. "General data" to maximize community understanding while maintaining safety and reasoning capabilities. • Conduct deep-dive research into Scaling Laws for Graph-based data: investigating how Reddit’s tree-structured conversations impact model convergence compared to flat text. • Design and scale continuous evaluation pipelines (the "Reddit Gym") that monitor model reasoning and safety capabilities in real-time, enabling dynamic adjustments to training recipes. • Drive high-stakes architectural decisions regarding compute allocation, distributed training strategies (3D parallelism), and checkpointing mechanisms on AWS Trainium/Nova clusters. • Serve as a force multiplier for the engineering team by setting coding standards, conducting high-level design reviews, and mentoring senior engineers on distributed systems and ML fundamentals.

Job Requirements

  • 7+ years of experience in Machine Learning engineering or research, with a specific focus on LLM Pre-training, Domain Adaptation, or Transfer Learning.
  • Expert-level proficiency in Python and deep learning frameworks (PyTorch or JAX), with a track record of debugging complex training instabilities at scale.
  • Deep theoretical understanding of Transformer architectures and Pre-training dynamics—specifically regarding Catastrophic Forgetting and Knowledge Injection.
  • Experience with Multimodal models (VLM): understanding how to align image/video encoders (e.g., CLIP, SigLIP) with language decoders.
  • Experience implementing continuous integration/evaluation systems for ML models, measuring generalization and reasoning performance.
  • Demonstrated ability to communicate complex technical concepts (like loss spikes or convergence issues) to leadership and coordinate efforts across Infrastructure and Data teams.

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

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