Top Tech Jobs & Startup Jobs in Jacksonville, FL

Design and build AI-powered backend services, optimizing performance and scalability while collaborating with cross-functional teams to integrate generative AI models.

Design, build, and deploy high-throughput ML and LLM-powered personalization and agentic systems at consumer scale. Process petabyte-scale data, optimize real-time inference, implement resilient fallback paths, and balance latency, cost, and model quality while collaborating across engineering and product teams.

Lead editorial programming across web, mobile, app, and push for Yahoo Finance. Set strategy, KPIs, and editorial standards; manage a multi-time-zone team; partner with product, engineering, analytics; use data and AI to optimize headlines, alerts, and distribution across surfaces.

Design, train, and deploy high-throughput ML/NLP models and pipelines at consumer scale. Build resilient production model services, migrate ML infrastructure to public cloud (GCP), process massive distributed datasets, integrate AI-driven workflows, and collaborate cross-functionally to embed personalization into Yahoo Mail while maintaining code quality and performance.

Owner of the PrevenTech product who defines vision, prioritizes backlog, translates customer feedback into features, and collaborates with cross-functional Agile teams to deliver integrated, scalable digital solutions aligned to business metrics and operational goals.

Lead multiple AI engineering and innovation squads to design, build, and scale AI-powered products on Google Cloud. Translate AI strategy into roadmaps, provide technical leadership across architecture, DevSecOps, CI/CD, telemetry, and APM, manage budgets/vendors, hire and develop teams, and ensure production reliability, security, and measurable business value.

Lead a team to design, build, and operate scalable, secure platform and MLOps capabilities on GCP and hybrid cloud. Drive DevSecOps, CI/CD, telemetry, and platform modernization to accelerate AI/ML and software delivery while managing delivery, budgets, vendors, and stakeholder alignment.

Lead strategy, execution, optimization, and analysis of integrated paid digital campaigns across search, social, display, and ABM. Build reporting dashboards, run A/B tests, ensure tracking/tagging, present insights to clients, and collaborate with cross-functional teams to improve acquisition and conversion performance.

Support SEO strategy execution through keyword research, technical site audits, content gap analysis, page-level recommendations, off-site brand audits, integrated paid/organic analysis, and reporting using analytics and SEO tools. Collaborate with cross-functional teams and continually test new search and AI-driven approaches to improve client search visibility and performance.

Manage HR and financial operations across the employee lifecycle, including hiring/onboarding/offboarding, benefits administration, performance cycles, vendor and invoice management, budget tracking and forecasting, contractor onboarding, IT/cybersecurity support, and coordination of in-person meeting logistics. Maintain systems, documentation, and reporting to support leadership decision-making and strengthen team culture and operational processes.

Support day-to-day people operations for a distributed US-based team: coordinate onboarding/offboarding, process payroll inputs, assist benefits enrollment, maintain HR records, serve as first contact for routine employee questions, support leave administration, coordinate vendor/EOR interactions, run employee programs and events, and cover expanded HR responsibilities during a planned leave (Dec–May). Identify process improvements and maintain operational playbooks.

Lead business development and capture activities for federal opportunities: identify leads, build capture plans, manage teaming, competitive intelligence, pricing, proposal strategy, and maintain an aggressive opportunity pipeline to drive revenue growth.

Create and maintain runnable, tested developer-facing documentation and example repos (Terraform/CloudFormation/CDK, SDKs, CLI) for AWS workloads; instrument docs for activation and trial conversion; collaborate with engineering, product, and growth to optimize onboarding and self-serve success.

Design realistic, multi-step data analysis benchmark tasks and create reproducible reference analyses. Evaluate AI-generated analyses for correctness, statistical validity, and interpretation. Collaborate with researchers to improve benchmark quality and document methodologies in Jupyter/Colab notebooks.

Design and author research-oriented, multi-step benchmark tasks for frontier AI models; create reference solutions and evaluation standards using Python and notebooks; review AI outputs to identify methodological and analytical flaws; collaborate with AI researchers to refine evaluation methodologies.

Validate and harden AI evaluation benchmarks by designing test cases, reviewing tasks and reference solutions, debugging Python evaluation scripts, identifying edge cases and exploits, developing repeatable QA processes, and collaborating with researchers to ensure reliable, reproducible benchmark results.