Top AI & Machine Learning Jobs

Design, train, and deploy multimodal machine learning systems that fuse 3D/vision, simulation, tabular, and text data. Own end-to-end model lifecycle from architecture and training to evaluation, production deployment, and monitoring, and build agentic workflows and retrieval/embedding capabilities to support underwriting and mitigation decisions.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

Lead the product vision and roadmap for an AI-native R&D platform, prioritizing use cases, coordinating data scientists, engineers, chemists and vendors, validating ROI, managing budgets, and driving adoption of AI tools in materials R&D.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

Build and maintain record-matching and text-analytics components for an AI-native analytics platform. Implement NLP and linguistics ideas into production code, optimize search internals (Elasticsearch), collaborate in agile sprints, and help design scalable APIs and architectures under senior engineering guidance.

The Senior ML/Research Scientist will develop wearable neurotechnologies, focusing on digital biomarkers and applications for neurological conditions through research and collaboration.

Design, develop, and maintain real-time deep learning pipelines and production ML microservices on Kubernetes. Curate datasets, establish benchmarks, improve observability and monitoring, and scale ML workflows. Collaborate with product, backend, and systems teams, contribute to R&D for aerospace/defense use cases, and document operational best practices.

The Analyst, Strategic Initiatives will manage AI projects, uncover business opportunities, improve operations, and analyze data to support decision-making in innovative AI applications.

The AI / Machine Learning Engineer will design, build, and deploy ML models for image classification, fraud detection, and data pipelines, while collaborating with product and engineering teams.

Design and implement scalable ML solutions for customer experience problems. Analyze customer data, research and deploy ML/NLP models, automate model development and validation, and produce performance analyses.