Top AI & Machine Learning Jobs

The Research Scientist Intern will architect algorithms, train AI models, collaborate with healthcare professionals, and publish research in medical AI applications.

Lead strategy, design, and delivery of enterprise analytics and AI capabilities. Manage and grow data teams, build scalable analytics platforms, ensure data quality and governance, partner with business leaders to drive ROI, operationalize model lifecycle and responsible-AI practices, and oversee project delivery, performance monitoring, and continuous improvement.

Analyze large-scale structured and unstructured data, develop and validate data models and methodologies, and perform large-scale parallel processing in clustered computing environments (ECL/HPCC, Python, C, SQL) to produce mission-relevant analytic products supporting Intelligence Community objectives.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

Lead and mentor the data science team, define research roadmaps, prototype NLP architectures, and engage with industry audiences.

As a Research Engineer, you will develop generative AI features, build data pipelines, and enhance model quality for virtual try-on applications.

Implement and productionize ML research into performant C++ and Python systems, build ML infrastructure and training pipelines, design LLM/agent applications, and deploy AI workloads across edge, near-edge, and cloud environments while collaborating with data science and engineering teams.

The Senior Research Scientist will develop algorithms for video content analysis, utilizing machine learning and computer vision to create robust prediction models while collaborating with software teams.

Build open-source tools, SDKs, demos, and docs to improve Kernel's developer experience; create tutorials and content; engage and support the developer community on GitHub/Slack/Discord/Twitter; assist enterprise customers with hands-on solutions engineering and influence product direction as an early team member.

Lead product strategy and roadmaps for vision and robotics products in manufacturing. Define MRDs/PRDs, prioritize features, partner with hardware, software, ML, sales, and CS, and drive products from concept to 24/7 production. Use AI tooling for research, travel to customer sites up to 50%, and make rapid tradeoffs in a fast-moving startup.