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