Top Artificial Intelligence Jobs

The Ultrasound Transducer Engineer will perform characterization, evaluation, and integration of ultrasound transducers, focusing on hardware development and image quality improvement.

Develop and implement mobile games using Unity for iOS and Android. Collaborate with teams on gameplay features and optimization, ensuring quality code and user experience.

Generate top-of-funnel pipeline through cold calling, emailing, LinkedIn and creative outreach; research target accounts; collaborate with AEs and SEs; use AI tools; maintain CRM discipline; contribute to SDR playbook and iterate outbound motions.

Work directly with customers to build, deploy, and iterate AI-driven scheduling and voice agents. Own end-to-end implementations, ship production code, tune agents in production, debug integrations/LLM behavior, and translate field insights into product improvements and account growth.

Own the full sales cycle for RealtyAds AI-native CRE platform: prospect, qualify, run discovery calls and demos, negotiate contracts, close deals, and continuously build pipeline. Use HubSpot and LinkedIn Sales Navigator, develop repeatable prospecting systems and AI-powered workflows, collaborate with leadership on messaging and GTM, and become a trusted advisor to commercial real estate clients.

Serve as the accounting subject-matter expert for order-to-cash, cash application, AR, and reconciliation. Support pre-sales demos, lead onboarding and platform configuration, train customers, translate accounting concepts, relay practitioner feedback to Product/Engineering, and create enablement materials to ensure customers derive full value.

The Sr. Workato Engineer will build integrations using Workato, review junior engineers' work, and communicate with clients regarding tasks.

Manage a portfolio of post-onboarding SMB SaaS clients, build stakeholder relationships, monitor AI agent performance, drive renewals and expansion, run performance reviews using data, identify risks, coordinate handoffs with onboarding, and relay client insights to product and GTM teams.

Lead development and deployment of AI-first systems: build generative and discriminative models, enable multimodal behavior classification from mobile signals, define prompting and benchmarking standards, own ML tooling and SDLC, and partner with Product and Engineering on the AI roadmap.

The Machine Learning Researcher will develop and implement advanced ML models for EEG neural decoding, collaborate with experts, and publish findings.