Senior AI Engineer

Summary

Join Nvidia, a global leader in computer graphics and accelerated computing, as a Senior AI Engineer to support their Digital Marketing platform. This full-time, W-2 contract position based in Santa Clara, CA, offers remote work options and competitive pay ($100-$120/hr). You will work alongside the Digital Marketing team to address data-driven marketing and compliance challenges. Responsibilities include developing and implementing ML and GenAI models, enhancing recommendation systems, fine-tuning LLMs, implementing AI safety mechanisms, and building algorithms to understand user interest. The role requires collaboration with engineers, scientists, and product managers to deliver production-grade AI solutions. Nvidia offers full benefits and PTO.

Requirements

• Bachelor’s Degree in Computer Science or a related field or equivalent experience
• Proven experience as a Machine Learning or AI Engineer with a track record of delivering ML and GenAI solutions
• Solid understanding and hands-on experience with LLMs, GenAI frameworks, and Agentic AI tools (e.g., LangChain, CrewAI, AutoGen)
• Experience with fine-tuning, prompt optimization, and serving LLMs in a production environment
• Familiarity with guardrails, content safety filters, and responsible AI practices (e.g., using NVIDIA NeMo Guardrails, moderation layers)
• Understanding of AI security practices, including prompt injection mitigation, safe API exposure, and privacy-aware model deployment
• Working SQL knowledge and experience with relational/non-relational databases
• Strong programming skills in Python, Golang, R, or Java; experience with ML frameworks like TensorFlow, PyTorch, scikit-learn
• Ability to evaluate and tune models using robust metrics, A/B testing, and business impact measurement

Responsibilities

• Develop and implement ML and GenAI models: Design, develop, and deploy scalable machine learning and generative AI models—including LLMs and agentic systems—that address complex business challenges in the marketing and business domain (e.g., recommendation engines, intelligent assistants)
• Experiment and improve performance: Enhance existing recommendation systems and LLMs by optimizing model architecture, latency, and inference speed for real-world deployments at scale
• Fine-tuning and prompt engineering: Customize foundation models using domain-specific datasets to improve accuracy and contextual relevance; design effective prompts for generative and retrieval-augmented generation (RAG) use cases
• Implement guardrails and safety mechanisms: Ensure responsible AI usage by integrating moderation filters, response constraints, and behavior boundaries using frameworks like NVIDIA NeMo Guardrails or similar
• AI security and compliance: Design AI systems with attention to data privacy, access control, prompt injection protection, and safe handling of critical marketing data
• Build algorithms to understand user interest and intent, improve content relevancy, and support adaptive personalization strategies
• Architect end-to-end solutions for complex data platforms and large-scale CI/CD data pipelines using a variety of technologies and data stores aligned with compliance needs
• Collaborate with engineers and scientists to transform large, noisy datasets into training and evaluation datasets for model development and iteration
• Collaborate multi-functionally with product managers, engineers, and analysts to translate business requirements into production-grade AI solutions

Preferred Qualifications

• Experience deploying and monitoring LLM or deep learning systems in production at scale
• Proven ability to secure and govern GenAI systems, including audits, access control, and guardrail implementations
• Experience optimizing LLM performance through quantization, distillation, or custom pipelines
• Proficiency in RAG pipelines, semantic search, vector databases, and personalization through embeddings
• Passion for staying abreast of the latest trends in GenAI, AI security, and responsible development practices

Benefits

• Full benefits
• PTO
• Amazing company culture