LLM Algorithm Engineer

3 weeks, 3 days ago
Full-time
Mid Level
Software Development
CoinMarketCap

CoinMarketCap

CoinMarketCap is the leading source for crypto market data, providing accurate and unbiased information for users to make informed decisions in the cryptocurrency space.

IT Services
11-50
Founded 2013

Description

  • Perform advanced post-training of large language models, including SFT, RLHF/RLAIF, and continual pretraining.
  • Align models for reliable JSON-schema function calls and external tool usage.
  • Design, deploy, and operate Model Context Protocol (MCP) servers for checkpoint routing, context window management, and safety gating.
  • Run distributed training and inference using DeepSpeed/FSDP, LoRA/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters.
  • Build offline and live evaluation pipelines for alignment, factuality, grounding, and hallucination assessment.
  • Develop and optimize large language models for production use cases.
  • Maintain model evaluation workflows to measure model performance and quality.
  • Support model deployment and inference optimization in distributed environments.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 3+ years of experience developing and optimizing large language models.
  • Proven experience implementing advanced post-training techniques such as SFT, RLHF, RLAIF, and continual pretraining.
  • Hands-on experience with distributed training frameworks such as DeepSpeed and FSDP.
  • Experience with optimization techniques including LoRA, QLoRA, and mixed precision.
  • Familiarity with model alignment, JSON-schema function calls, and external tool integration.
  • Experience building and maintaining evaluation pipelines for model performance assessment.
  • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of distributed systems and high-performance computing.
  • Experience with model deployment and inference optimization on vLLM or Triton clusters.
  • Knowledge of JSON-schema and API development.

Interested in this position?

Apply directly on the company website

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