Senior LLM Engineer

Motion Recruitment - Boston, MA

Full-time - Senior

Remote - Boston, MA

Administrative and Support Services

About the position

The Senior LLM Engineer will focus on utilizing large language models (LLMs) and natural language processing (NLP) to enhance content customization and personalization for a leading content streaming company. This fully remote role emphasizes the importance of improving user experience through advanced AI techniques and requires a strong background in machine learning and LLM architectures.

Responsibilities

• Design, develop, and deploy large language models (LLMs) for various applications such as content recommendations, search functionality, chatbots, and personalized user experiences.
• Collaborate closely with product managers, data scientists, and engineering teams to define requirements and deliver innovative AI-driven features.
• Optimize and fine-tune pre-trained LLMs (e.g., GPT, BERT, T5, etc.) for specific use cases and high-performance environments.
• Leverage modern machine learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face) to build and improve NLP models.
• Contribute to the research and development of new LLM techniques and approaches that can be applied to streaming and content personalization.

Requirements

• 6+ years of experience working in machine learning and natural language processing (NLP) with a focus on large language models (LLMs).
• Expertise in LLM architectures and frameworks such as GPT, BERT, T5, RoBERTa, or similar.
• Proficiency in Python and popular machine learning libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Solid experience with model training and fine-tuning LLMs, including large-scale datasets and cloud-based platforms (e.g., AWS, Google Cloud Platform, Azure).
• Hands-on experience deploying AI models to production environments and managing model lifecycle in real-time systems.
• Strong understanding of NLP techniques such as text generation, sentiment analysis, named entity recognition, and text summarization.
• Familiarity with cloud infrastructure tools (e.g., Kubernetes, Docker, Terraform) and distributed computing to scale model training and deployment.
• Proven experience with model evaluation, debugging, performance optimization, and ensuring robustness of AI models.

Nice-to-haves

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, AI, or a related field.
• Experience with reinforcement learning or multi-modal AI systems.
• Knowledge of data privacy, ethical AI, and bias mitigation in AI systems.
• Familiarity with streaming platforms, content recommendation systems, or related technologies is a plus.

Benefits

• Competitive salary and benefits package
• Career growth and learning opportunities
• Chance to contribute to innovative projects in a leading tech company
• Health, Dental, Vision Benefits (fully paid by the company)
• PTO