Lead AI/ML NLP Engineer

Nightfall AI • Palo Alto, CA

49d • Hybrid

About The Position

We are looking for an exceptional technical leader to join our growing team at Nightfall. As a senior, hands-on, ML engineer joining the AI Engineering organization, you will drive execution, provide solid technical expertise, raise the bar of the team, and contribute towards shaping the long-term architecture of the AI platform that powers our Data Leak Protection (DLP) and other Security products. This is a hybrid role (3 day office) based out of our South Bay area (Palo Alto) office.

Requirements

• Minimum 3+ years of hands-on, technical development experience
• 3-10 years of experience mentoring and technically leading Data Science or ML Engineering teams.
• Strong expertise in Python with additional language such as Go, C++, Java or Rust. Knowledge of data structures and algorithms is a must.
• Grounded in Data Science and Machine Learning algorithms with demonstrated business impact through training custom deep learning NLP models, and LLMs.
• ML training and inferencing at scale with hands-on experience with horizontal and vertical scaling, including use of GPUs.
• BS/MS/Ph.D. in Computer Science, Applied Math or a related technical field.

Nice To Haves

• Experience working in high growth venture-backed startups
• Experience with fine-tuning LLMs, prompt and context engineering, RAG/vector databases. conversational/agentic frameworks is a plus
• Prior experience using AI in Security domain
• Experience with ML Ops frameworks such as Sagemaker, MLflow, etc.
• Blog, teach, mentor, or help others learn outside of your day to day responsibilities
• Familiarity with AWS and managed infrastructure

Responsibilities

• Drive great execution, work with the team to set clear goals, and deliver against them
• Data Analysis, Machine Modeling, System Architecture and Coding to launch AI systems in production
• Help shape the architecture of the AI Platform to enable the use of cutting edge ML technologies while ensuring it is scalable and reliable
• Implement best of practices in a fast-paced engineering environment and champion a culture of engineering excellence and productivity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees