Top AI & Machine Learning Jobs

Develop and deploy predictive and deep learning models, analyze large datasets to surface insights, collaborate with cross-functional teams, produce visualizations and reports, and deliver model-driven features via web interfaces and APIs.

The Quantum Algorithms Scientist will develop and implement quantum algorithms, conduct research on quantum computing applications, and collaborate on publications and presentations.

As an ML Engineer II, you will develop manipulation systems for mobile robots, building models, training datasets, and deployment pipelines for improved robot interactions in dynamic environments.

Architect and implement scalable generative AI solutions for enterprise document workflows. Own end-to-end delivery, collaborate with product and commercial teams, build extraction and automation features, ensure privacy and security by design, mentor engineers, and drive customer adoption of core platform capabilities.

Own and improve the data infrastructure and core pipelines powering underwriting and claims. Build ingestion and enrichment pipelines for messy claims data, partner with data scientists and actuaries to productionize models and logic, and establish SLAs, monitoring, and on-call practices to ensure reliable, observable systems.

Build and operate the foundational AI platform: cloud infrastructure, data pipelines, model serving and MLOps, observability, SLOs, and CI/CD. Set technical direction, mentor engineers, automate infrastructure-as-code, and collaborate with data scientists and product teams to ensure reliable, scalable AI systems.

Lead and mature enterprise AI/ML architecture and governance. Define architecture standards, review solution designs, ensure scalable secure MLOps, vet vendors, and drive responsible AI practices across the organization while advising senior stakeholders.

Design, train, and optimize high-performance ML/AI models and inference pipelines for remote sensor (OPIR) data. Integrate models into production Linux-based systems, collaborate with C++ and systems engineers, apply rigorous software engineering and Agile practices, and support missile warning, defense, and sensor-fusion applications.

Lead and build Inflection's realtime Voice AI stack across speech models, streaming systems, voice-agent runtime, and evaluation. Define roadmap, direct research and engineering, design evaluation metrics beyond WER, deploy enterprise voice agents, debug production behavior, and mentor a team focused on speech research, realtime systems, and audio infrastructure.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.