Top Entry Level Artificial Intelligence Jobs in Seattle, WA

Rubrik invites engineers to join their talent community to be part of a team dedicated to data security, innovation, and inclusion. Candidates should be motivated to tackle challenges and contribute to product development.

Provide after-hours and weekend travel support: monitor channels, handle flight/hotel/transport disruptions, rebook travel per SOPs, escalate high-impact issues, document actions, and hand off unresolved items to weekday Logistics.

Build and own production software for facility energy control, including protocol and gateway services, messaging and state layers, data contracts, constraint execution, and observability. The role requires high-throughput messaging, time-series data modeling, resilient service design, device-to-database data integrity, and real-time operational systems experience. Bonus technologies include Go, NATS, Redis, industrial protocols, Kubernetes, ArgoCD, SCADA, EMS, and Grafana.

Lead research and evaluation of an AI-powered, physics-informed climate model designed for accurate multidecadal forecasts. Develop training and testing cases, implement model improvements for generalization to unseen climates, couple atmospheric, oceanic, land, and sea-ice systems, publish findings, contribute open-source code, collaborate with researchers, and mentor interns.

Develops personalized advertising recommendation algorithms using machine learning and deep learning. Responsibilities include identifying modeling opportunities, defining research roadmaps, developing and validating new models with large-scale user data and compute, analyzing metrics, and partnering with engineering and product teams to productionize research and deliver measurable business results.

Lead the technical direction for ML-powered experimentation and predictive insights. Build production systems spanning modeling, LLMs, retrieval, simulation, statistical methods, data pipelines, backend services, and product workflows. Develop traceable, calibrated, privacy-aware predictions; establish rigorous evaluation, backtesting, monitoring, and abstention practices; and translate insights into approval-gated experimentation workflows. Partner with engineering, product, data science, and research teams while providing technical leadership for high-quality production ML.

Develop, deploy, and support enterprise UiPath RPA and intelligent automation solutions. Build attended and unattended bots, integrate APIs, SQL databases, enterprise applications, and cloud services, and incorporate Document Understanding, GenAI, LLMs, RAG, and agentic AI. Responsibilities include testing, troubleshooting, monitoring, production support, documentation, governance, security, compliance, and reusable component development.

Build and ship customer-driven fixes and features in SageOx’s core product. Engage customers through Slack and onsite onboarding, debug integrations, design workflows, educate users, create documentation, and synthesize customer feedback into product insights. The role requires independent software development, strong communication, comfort with AI tools, and occasional travel to customer sites while working onsite in Seattle.

Owns onboarding, offboarding, device provisioning, access provisioning, and capacity planning for contractor, vendor, and BPO safeguards reviewers. Builds scalable workforce processes, partners with IT and Security on access governance, coordinates vendor commitments, and aligns human review operations across teams. The role combines hands-on execution, cross-functional program management, and long-term workforce strategy in a rapidly changing environment.

Configure, optimize, and maintain HubSpot CRM environments supporting sales and revenue operations. Responsibilities include workflow and pipeline configuration, data integrity and governance, CRM audits, automation, client account deployments, integrations with sales technology, reporting support, documentation, enablement, and troubleshooting. The role partners with RevOps, sales leadership, data teams, and clients to improve scalability, system reliability, sales productivity, and revenue visibility.