AI Hire Signal
JobsCompaniesTrendsInsightsWeekly
JobsStrategy timeline
AI Hire Signal

Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

Contact

Browse

JobsCompaniesTrendsInsightsWeekly

Resources

AboutSitemapRobots

Legal

PrivacyTerms
© 2026 AI Hire Signal·Not affiliated with companies shown

No active AI roles currently tracked. Primary focus: Ship · Engineering. Salary range $97k–$163k (avg $121k).

Hiring
0 / 3
Momentum (4w)
↑+167
167 opens last 4w · 0 prior 4w
Salary range · avg $121k
$97k–$163k
USD · disclosed roles only
Tracked since
Mar 11
last role 2w ago
Hiring velocityscroll left for older weeks
167 new roles
Invalid Date

Frequently asked questions

  • What AI roles is State Farm hiring for?

    State Farm currently has 1 active AI-related role in our index. The most common open titles are: Lead Data Scientist - Gen AI. Most positions are in Engineering.

  • What stage of AI development does State Farm focus on?

    State Farm's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is State Farm hiring AI talent?

    State Farm is hiring AI talent in: United States (1 role).

  • What technologies does State Farm's AI team work with?

    Job postings at State Farm most frequently reference: agent orchestration, fine tuning, vision, model serving.

  • How many AI roles has State Farm posted recently?

    In the past 30 days, State Farm has posted 4 new AI-related roles.

Jobs (1)

1 AI · 90 total active
FilteredCountryUnited States×
Show
Active onlyAI only (≥ 7)
Stage
AllAgent · 1
Function
AllEngineering · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Lead Data Scientist - Gen AI
Lead Data Scientist role focused on developing and validating advanced deep learning models and GenAI solutions, including LLMs and Agentic AI, for enterprise use. The role involves end-to-end ML model development for production, from scoping to monitoring, with a focus on Computer Vision and NLP. Requires experience with Python, deep learning frameworks, fine-tuning models, and cloud-based ML tools.
AgentPost-trainEngineeringBloomington, IL +32w ago8