Machine Learning Engineer

Shields Group Search is focused on building technology that enhances the security and safety of AI for humanity. They are seeking a Machine Learning Engineer to design and build systems that analyze and extract insights from large-scale data while developing and fine-tuning models for language understanding and generation.

Responsibilities:

• Design and build machine learning systems that analyze, classify, and extract insights from large-scale, multimodal data
• Develop, fine-tune, and evaluate transformer and LLM-based models for language understanding, generation, and evaluation
• Prototype quickly, experiment relentlessly, and own models end-to-end
• Engineer high-performance inference pipelines optimized for latency, throughput, and accuracy
• Work with LLMs and agents to model language, actions, and context across complex workflows

Requirements:

• 3-6 years of hands-on machine learning or applied AI experience
• Strong Python and PyTorch experience, or strong Python and TensorFlow experience
• Deep understanding of transformer architectures and NLP pipelines
• Experience training, fine-tuning, or evaluating LLMs and agentic systems for applied NLP tasks
• Comfortable working with REST and/or gRPC APIs, Git, and cloud ML stacks across AWS, GCP, or Azure
• Experience with LoRA, PEFT, RAG, or vector search
• Experience with instruction tuning, evaluation datasets, or alignment methods
• Knowledge of GPU optimization or distributed training
• Interest in AI safety, interpretability, and bias evaluation
• Open-source contributions or published machine learning work