Lead Machine Learning Engineer

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NobleAI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

⚡ Energy

🔬 Science

💰 Seed Round on 2019-03

Artificial Intelligence • Energy • Science

NobleAI is a cutting-edge artificial intelligence company that stands out as one of the hottest AI startups to watch for 2024. The company specializes in developing science-based AI models and offers a cloud-based platform called Noble VIP, designed to accelerate product innovation across various industries. NobleAI's technology solves complex problems related to chemicals, materials, formulations, and energy, delivering high-performing, safe, and sustainable solutions in software. The company's Science-Based AI architecture incorporates scientific principles and constraints, reducing data requirements and protecting data privacy. NobleAI serves diverse sectors, from consumer packaged goods to building materials, by providing tools for insightful predictions, optimized designs, and explainable AI, thereby minimizing trial and error in innovation.

📋 Description

• Architect, build, and deploy intelligent features to our VIP platform. • Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data. • Build and maintain Retrieval-Augmented-Generation (RAG) systems and Reinforcement Learning frameworks. • Integrate features into our platform with product and software engineers. • Establish prompt engineering and data management best practices. • Monitor and evaluate data and models across the model lifecycle. • Stay updated on advancements in NLP, LLMs, and agentic AI research.

🎯 Requirements

• MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field. • 5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP). • Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. • Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow • Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities. • Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB. • Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic). • 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe). • Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles. • Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

🏖️ Benefits

• Benefits coverage including medical, dental, vision, disability, and life insurance • Retirement fund employer contribution • Generous Paid Time Off & Holidays • Stock options • Performance-based bonus • Salary range depending on experience