Senior Machine Learning, Generative AI Engineer

Summary

Join Sustainable Talent and Nvidia, a global leader in computer graphics and accelerated computing, as a Senior Machine Learning, Generative AI Engineer. 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 on the Digital Marketing platform team, addressing data-driven marketing and compliance challenges. Responsibilities include developing and implementing ML and GenAI models, enhancing recommendation systems, fine-tuning models, implementing safety mechanisms, and ensuring AI security and compliance. The role requires collaboration with engineers and scientists to build and optimize 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