Top AI & Machine Learning Jobs

Founding clinical AI researcher bridging medicine and engineering: define clinical requirements, curate and annotate datasets, develop and validate AI/NLP/LLM models for hospital quality and patient safety, engage hospital partners, design prompts and workflows, and produce clinical documentation and validation reports for product and regulatory use.

Design, develop, test, and deploy software for autonomous surface vessels. Implement perception, navigation, path-planning, control, and sensor-fusion algorithms. Collaborate with hardware and robotics teams, ensure performance and DoD compliance, and maintain software through the full development lifecycle.

Lead and mentor AI engineers and data scientists to research, prototype, and productionize scalable AI/ML solutions (NLP, CV, predictive analytics, generative AI). Own MLOps, cloud integrations (Azure, AWS, GCP), ethical AI governance, model monitoring/versioning, and cross-functional deployment to meet business objectives.

Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.

Lead and grow a small ML team to turn Evvy's vaginal microbiome dataset into validated, product-ready diagnostic and prognostic models. Drive technical quality, roadmap planning, cross-functional translation, model validation and deployment readiness, hiring, and day-to-day team management.

Drive original AI research focusing on new models and algorithms for reasoning in complex environments, collaborating with engineers and contributing to the research community.

As a Founding Data Scientist, you will develop predictive models and optimize data infrastructure to enhance supply chain operations, focusing on shipment risk and decision-making.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

Design, develop, and deploy Power BI dashboards and ETL pipelines, connect to diverse data sources, perform analysis and predictive modeling, enforce data governance and security (row-level), and support stakeholders with training and documentation.

Lead design of AI agent experiences—conversation and voice flows, multi-turn dialogs, escalation and error handling. Create user journeys, information architecture, wireframes, and clickable prototypes. Co-facilitate discovery workshops, ground decisions in user research, contribute to design systems, and ensure scalable, production-ready UX patterns for enterprise AI deployments.