Machine Learning Engineer

Added
22 days ago
Type
Full time
Salary
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Related skills

python tensorflow pytorch llms rlhf

πŸ“‹ Description

  • Design, build, and ship ML systems for autonomous underwriting in production
  • Build and close feedback loops turning underwriter behavior into training signals
  • Develop confidence scoring to define when more autonomy is ready
  • Work with LLMs to build reliable, auditable agentic workflows
  • Partner with underwriters to extract domain knowledge and earn trust
  • Contribute to observability and guardrails for AI underwriting safety

🎯 Requirements

  • 4+ years building and shipping ML end-to-end models
  • 4+ years with model deployment platforms (e.g., AWS Sagemaker)
  • Finetuning SLMs/LLMs with RLHF, DPO, or LoRA
  • Proficient in Python and ML frameworks (PyTorch, HuggingFace, TensorFlow)
  • Production experience with LLMs: prompts, structured outputs, tools, eval
  • Models built with limited labeled data (synthetic data, augmentation)

🎁 Benefits

  • Premium healthcare with 100% top-tier health, dental, and vision
  • Fertility benefits and family-building support
  • Unlimited PTO
  • Daily meals and snacks
  • Offices in SF, NYC, Dallas-Fort Worth, Chicago and LA
  • Professional development coaching
  • 401(k) plan
  • Dog-friendly SF office
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