Top AI & Machine Learning Jobs

Senior data scientist/exploitation specialist to integrate emerging EO and SAR sensors into NGA Maven pipelines, perform quantitative analysis, build ETL and visualization tools, develop software for labeling campaign management and imagery curation, and support ML model development, partitioning, and evaluation to meet operational intelligence needs.

Design, build, and optimize end-to-end generative AI workflows for image and video production. Integrate ControlNet variants, manage model/versioning and LoRA stacks, create repeatable shot templates, test new tools/models, present findings, and act as a technical resource across creative teams while building external R&D presence.

The Assistant Professor will lead research in AI applications for radiology, supervise students, and advance interdisciplinary teaching and curricula. Responsibilities include conducting research, organizing training, and collaborating on biomedical imaging projects.

Build and scale an AI Visibility Dashboard and analytics platform, track brand performance across major AI apps, create automated content generation and schema markup tooling, ship production features quickly, and work directly with customers to solve enterprise commerce problems.

The R&D Engineer Intern will design machine learning pipelines, translate research into products, and develop microservices for biomedical engineering applications.

Lead and deliver complex data science and mathematical projects for DoD clients: design ML and statistical models, develop algorithms, perform EDA, integrate solutions, create dashboards and reports, mentor staff, and ensure compliance with DoD standards while driving research and innovation.

Lead embedded AI automation initiatives within portfolio companies, engaging directly to assess needs, architect solutions, and implement integrations for rapid value delivery.

The role involves leading strategic transformations in manufacturing using AI technologies, working closely with clients to define solutions, manage projects, and enhance user experience.

Embed with enterprise customers to build demos, POCs, and production AI/data solutions fast. Design and implement semantic layers, knowledge/context graphs, data pipelines, and GenAI applications (LLMs, agents, RAG, text-to-SQL). Own technical relationships end-to-end and feed field insights into Product and Engineering.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.