Senior LLM Engineer

We're currently working with a large company in the content streaming industry that is looking for a strong LLM Engineer to join their team. The role will be focused on using LLMs and NLP for content customization and personalization to increase the quality of experience for daily users. 

The ideal candidate is an experienced engineer with a deep understanding of LLMs, machine learning frameworks, and cloud-based infrastructures. You should have a proven track record of working with advanced NLP techniques and large-scale AI systems in production environments. This role is fully remote but heavily prefers East Coast candidates.

Required Skills & Experience

• 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, GCP, 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.

Preferred Experience

• 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.

Daily 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.

The Offer:

• 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

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