Top AI & Machine Learning Jobs

Develop and scale frontier AI systems for biology, including foundation models, RL and multi-agent systems. Design model architectures, pre-training and post-training discovery pipelines, evaluation frameworks, and publish/open-source research with scientific collaborators.

Build and operate the core platform for Boson AI's model APIs and agentic products: API serving, state management, distributed services, data pipelines, SDKs, retrieval and caching, observability, and integrations with ML and product teams. Grow ownership under senior mentorship while shipping production features.

Tenure-track Assistant Professor to develop an externally funded AI research program (focus areas: AI for cybersecurity, bioinformatics, gaming/simulations, autonomous vehicles), teach undergraduate and graduate courses, supervise graduate students, and provide departmental and professional service. Ph.D. required by start date; application materials include cover letter, CV, research and teaching statements, and three references.

Own the networking vision and roadmap for k0rdent AI, defining underlay/overlay fabrics, RDMA, DNS/IPAM, network automation, and DPU/SmartNIC integration. Translate customer and engineering requirements into priorities, track emerging interconnect standards, and support positioning, field engagements, and reference architectures.

Lead vision, roadmap, discovery, and execution for Loop's agentic products (starting with agentic BI). Own adoption, retention, expansion, and revenue; run discovery, prioritize ruthlessly, drive UX and engineering, prototype with AI coding agents, and collaborate with leadership and customers to scale agent-driven software.

Build, ship, and own end-to-end ML models for vendor matching, order routing, and supply-chain optimization. Partner with data engineering to productionize models, quantify impact, document work, and implement decision logic components toward agentic AI in a fast-moving healthcare startup environment.

Lead and own the ML/AI function: architect multi-modal agentic systems, define evaluation frameworks and datasets, productionize reliable scalable ML, ensure compliance, and build and mentor a high-performing ML team.

Build and deploy real-time multimodal perception systems (camera, LiDAR, radar) for 3D/BEV scene understanding. Optimize models for low-latency embedded inference, design auto-labeling and data pipelines, evaluate metrics, and validate systems on real machines in rugged environments.

Partner with stakeholders to gather AI requirements, govern and administer enterprise AI platforms (GPT, Claude, Fathom, Gamma), manage Agent Skills, handle user provisioning and license administration, monitor usage and compliance, deliver training and enablement, and continuously improve AI administration processes.

Lead and grow a data science team delivering production ML and analytics (forecasting, elasticity, classification), embed agentic workflows, ensure MLOps rigor (CI/CD, versioning, monitoring), package models as services, and link model outcomes to business metrics while partnering cross-functionally.