Top Entry Level Artificial Intelligence Jobs

Own the technical systems supporting customer acquisition and growth, including conversion tracking, attribution, integrations, funnel experiments, analytics, and internal automation. Build website experiences in TypeScript and React, analyze funnels and cohorts with SQL and PostHog, reconcile marketing and billing data, and run statistically sound experiments. Partner with marketing and product teams, maintain reliable event instrumentation, document decisions, test releases, and monitor production systems.

Supports a Federal customer by gathering and documenting requirements, assisting with testing and validation, performing ongoing operations and maintenance, troubleshooting issues, and coordinating with customer and internal stakeholders. The role requires strong problem-solving, communication, organization, independence, and the ability to manage competing priorities in a technical environment. An active TS/SCI clearance with polygraph and successful customer crossover are required.

Develop research methods for autonomous systems that model changing environments, estimate state, reason under uncertainty, plan, control, adapt, and evaluate outcomes. Apply optimization, control theory, probabilistic reasoning, and reinforcement learning to create algorithms, prototypes, benchmarks, and product architectures. Collaborate with research, engineering, and product teams to transfer mathematical methodologies into real-world intelligent systems.

Develop mathematical and computational methods to quantify information, uncertainty, redundancy, information loss, and the value of additional evidence in complex enterprise data. Apply information theory, Bayesian inference, statistics, and probabilistic modeling to build algorithms, prototypes, benchmarks, and evaluation methods for information-aware AI systems. Collaborate with research, engineering, and product teams to translate theoretical methods into practical systems.

The Special Projects Lead works directly with the founder on ambiguous, cross-functional initiatives spanning go-to-market, product, operations, recruiting, and research. They scope projects, execute them end to end, own outcomes under unclear KPIs, and transition completed work to permanent owners. This early-career role emphasizes speed, clear writing, independent execution, adaptability, and broad exposure across the company.

Serve as the CEO’s trusted right hand while managing the company office. Responsibilities include calendar, travel, expenses, inbox triage, meeting logistics, facilities, vendors, purchasing, bill payment, catering, supplies, events, team logistics, visitor experience, and ad hoc operational support. The role requires strong judgment, exceptional follow-through, independence, vendor accountability, and willingness to work in person six days per week.

Own presales discovery, solution architecture, technical demos, prototypes, proof-of-concept definition, technical evaluations, RFP responses, and security questionnaires for enterprise AI customers. Translate customer workflows and technical requirements into validated architectures and measurable business value, manage implementation risks, and provide accurate delivery handoffs. Convert field insights into reusable reference architectures, demos, and product improvements.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Own end-to-end AI product development for enterprise clients, from requirements and rapid LLM prototyping through production deployment. Responsibilities include data modeling, ETL pipelines, integrations, evaluation, observability, security, reliability, cost management, and client communication. The role requires shipping real AI products, iterating based on usage, and independently managing ambiguous technical and product decisions.

Create 3–5 authentic short-form videos weekly for TikTok, Instagram Reels, or YouTube Shorts, sharing personal experiences using Rezi for job searching and resume improvement. Content may include resume transformations, ATS score demonstrations, and career tips. Creators must film themselves, use their own stories, and post about careers, jobs, productivity, or student life. Compensation is based on verified video views, with monthly payouts managed through viral.app.