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Staff Machine Learning Engineer

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Staff Machine Learning Engineer in USA new

  • Remote

Responsibilities

  • Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific AI security problems.
  • Build reproducible training and evaluation pipelines on Reddit’s ML platform and partner with platform engineers to improve inference performance, resource efficiency, and operational reliability.
  • Set the technical vision and multi-quarter modeling roadmap while defining architectures and gathering requirements with cross-functional teams.
  • Conduct model evaluations, performance analysis, adversarial testing, and error analysis, and define launch criteria balancing accuracy, false positives, latency, throughput, reliability, and cost.
  • Own training-data quality and the production model lifecycle, including monitoring, retraining, safe rollout, rollback, and incorporating incident and red-team feedback.
  • Establish responsible ML development and deployment practices covering reproducibility, testing, model and data lineage, and privacy-aware data use.
  • Track advances in NLP, large language models, and multimodal techniques and translate relevant research into model improvements.
  • Mentor engineers and lead technical discussions, reviews, and long-term AI security direction.

Requirements

  • 8+ years of experience developing machine learning models, including substantial hands-on model training, demonstrated production impact, and leadership of complex cross-team initiatives.
  • Strong Python programming and software engineering skills, with experience in deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Deep understanding of neural network architectures and optimization, including data preprocessing, tokenization, embeddings, language modeling, and model calibration.
  • Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, plus understanding of hardware and system tradeoffs.
  • Experience with rigorous experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis for bias and generalization issues.
  • Strong written and verbal communication skills for explaining model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners.
  • Preferred: experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains.
  • Preferred: experience with adversarial training, model distillation, active learning, or synthetic-data generation.

Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match.
  • Global benefits supporting workspace, professional development, caregiving, and lifestyle needs.
  • Family planning support, gender-affirming care, and mental health and coaching benefits.
  • Flexible vacation, paid volunteer time off, and generous paid parental leave.
  • Remote role as indicated by the #LI-Remote posting designation.

Salary: $230k - $322k/yr

Reddit

Reddit is a network of communities where people can delve into their interests, hobbies, and passions. There's a community for whatever you're interested in. You can post – the community can share content by posting stories, links, images and videos. You can comment on posts. You can vote – comme...

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