Emerson · 1 day ago
AI System Architect
Emerson is seeking an AI System Architect to lead their Measurement Solutions AI Center of Excellence team. This role requires deep expertise in AI/ML development and advanced neural network implementation to drive innovation across industrial automation and B2B applications.
ElectronicsIndustrial AutomationInternet of ThingsLightingManufacturingSoftware
Responsibilities
Lead the design and implementation of advanced AI/ML systems including large language models, computer vision transformers, and reinforcement learning solutions for industrial applications
Develop and deploy production-grade deep learning pipelines using cloud platforms (AWS, GCP, Azure) with focus on scalability, reliability, and performance optimization
Build innovative AI solutions leveraging transformer architectures, generative models, and Bayesian frameworks to solve complex business challenges in ocean exploration, robotics, and industrial automation
Implement online reinforcement learning systems for resource optimization and intelligent decision-making in critical operational environments
Lead cross-functional teams in developing foundation models and fine-tuning strategies using advanced techniques including curriculum learning, adversarial training, and multimodal approaches
Establish and drive MLOps best practices including automated model training pipelines, continuous deployment, monitoring, and A/B testing frameworks using tools like Docker, Kubernetes, and AdaptDL
Translate cutting-edge AI research papers into production-ready solutions while maintaining robust evaluation metrics and interpretability frameworks
Provide technical leadership and mentorship to the AI/ML engineering team, guiding development in advanced concepts including manifold embeddings, graph neural networks, and causal inference methodologies
Work with external partners (academic and commercial) to coordinate AI development efforts and integrate novel technologies
Ensure AI systems comply with security, privacy regulations and implement responsible AI development practices
Present complex AI implementations and research findings to technical and non-technical stakeholders through clear documentation and compelling presentations
Qualification
Required
Master's degree in computer science, AI/ML, or related field
5+ years of experience in AI/ML development with focus on deep learning and neural network architectures
Expert-level proficiency in TensorFlow, PyTorch, PyTorch Lightning, and deep learning frameworks
Demonstrated experience architecting and deploying large-scale AI systems in production environments
Strong expertise in transformer architectures, LLMs, computer vision models, and reinforcement learning
Advanced programming skills in Python and C++, with experience in CUDA/GPU programming
Proven experience with MLOps practices, containerization (Docker/Kubernetes), and elastic workload management
Deep understanding of the mathematics behind neural networks including optimization, embeddings, and statistical learning theory
Experience with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling
Track record of leading AI research initiatives and converting research papers to production code
Strong problem-solving skills with ability to work on complex, ambiguous problems
Legal authorization to work in the United States
Preferred
PhD in Computer Science, Machine Learning, or related field
Publications or significant contributions to AI/ML research conferences
Experience with robotics, autonomous systems, or industrial automation applications
Expertise in active inference, causal inference, and interpretability frameworks
Knowledge of edge computing and embedded AI deployment
Experience with government or defense contracts (NOAA, Sandia, Space Force)
Competition wins (Kaggle, hackathons) or open-source AI contributions
Teaching or mentoring experience in AI/ML topics
Experience with multimodal AI systems and cross-modal learning
Background in formal methods and verification of AI systems
Certifications in cloud AI platforms or specialized AI frameworks
Benefits
A variety of medical insurance plans, with dental and vision coverage
Employee Assistance Program
401(k)
Tuition reimbursement
Employee resource groups
Recognition
Flexible time off plans, including paid parental leave (maternal and paternal)
Vacation and holiday leave
Company
Emerson
Emerson is an technology & engineering company providing innovative solutions for customers in industrial and residential markets.
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Recent News
2025-11-11
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