Top AI & Machine Learning Jobs

Conduct frontier AI detection research under mentorship, selecting a topic such as adversarial robustness, interpretability, multimodal detection, agentic AI detection, or AI-generated training data. Interns are expected to develop research suitable for publication at a major AI conference, train neural networks, and contribute to novel AI detection methods.

Leads strategy, roadmap, discovery, development, and launch of AI-native products across multiple client engagements. Owns product requirements, prioritization, release planning, client relationships, presales scoping, solution design, and executive communication. Partners with engineering, design, data science, and delivery teams to ship scalable products. Requires hands-on experience with production LLM and agentic AI products, prompting, context design, evaluation, Agile delivery, and technical product specifications.

Develop robotics-focused integrations for FiftyOne, support the open source community, and create technical blogs, tutorials, videos, courses, and documentation. Apply computer vision and machine learning to robotics perception, navigation, manipulation, and autonomous systems. Organize and speak at robotics events, collaborate through GitHub and Slack, and work with robotics datasets, multimodal sensor formats, simulation environments, models, and perception frameworks.

Conduct quantitative research and consulting projects for Fortune 500 clients, including data transformation, statistical analysis, machine learning, forecasting, visualization, and automated reporting. Collaborate with data scientists, designers, and project managers to develop client and internal data science solutions, communicate insights to senior stakeholders, and advise analysts and sales leaders on analytical methods.

Founding Engineer will own the technical roadmap and build Voxology’s AI healthcare automation platform. Responsibilities include architecture, AI/ML pipelines, model training and deployment, backend and frontend development, APIs, automation, LLM orchestration, infrastructure, and rapid prototyping. The role partners with leadership, product, and go-to-market teams while shaping engineering culture and supporting production systems through on-call ownership.

Conduct robotics and Physical AI research connecting interaction understanding with real-world robotic systems. Build closed-loop perception, planning, execution, monitoring, and replanning systems; integrate and debug robots; design experiments in restaurant and healthcare environments; evaluate robustness; and contribute to publications, prototypes, and potential patents.

Track and evaluate emerging LLM and AI research, assess models and techniques, build prototypes, and collaborate with engineers to deploy useful methods in client systems. Advise product direction, establish metrics for accuracy, reliability, and cost, and communicate research findings clearly. The role requires strong applied research, engineering, judgment, and communication skills in a fast-changing early-stage environment.

Supports business process improvement by researching workflows, collecting data, maintaining project records, developing presentations and reports, and designing AI-powered automation solutions. The intern bridges business teams and technical systems using AI tools and automation platforms. This is an on-site summer internship in Austin, Texas, with no relocation or housing assistance.

Lead technical direction for a generative video modeling platform, design and scale video generation and control-oriented prediction models, improve long-horizon rollout fidelity, integrate physical priors and object-centric representations, anticipate architectural bottlenecks, and mentor the team to translate research into deployable systems.

Build and operate production calibration and image-processing pipelines for multispectral infrared satellite imagery. Translate calibration algorithms into reliable software with testing, monitoring, alerting, diagnostics, CI/CD, and observability. Analyze pre-launch and on-orbit data, validate calibration coefficients, manage uncertainty budgets, and support calibration campaigns for FireSat and SBEM missions. Collaborate with scientists, instrument engineers, and product teams to ensure radiometric integrity and scientific quality of data products.