Tech Stack
Machine LearningSoftware EngineeringStatisticsData ModelingEtlAPI DesignFrontendInfrastructureDevopsComputer Vision
Solid badges = required, outlined = preferred
Responsibilities
- Embed on-site with design partners and manufacturers to understand constraints and build trust.
- Build, deploy, and maintain machine learning models on factory data for applications like vision inspection, part identification, and sensor analysis.
- Translate unstructured partner feedback into concrete technical requirements, writing full-stack production code.
- Manage the process-engineering and change management aspects of software deployments on factory floors.
- Quantify and optimize the financial and operational outcomes of technical deployments (throughput, quality, EBITDA).
Soft Skills
Causal InferenceEconometricsManufacturingRoboticsStakeholder ManagementProject Leadership
Benefits
- Dental
- Equity
- Medical
- Unlimited PTO
- Vision
Culture
On-Call RotationFast-PacedStartup EnergyMission-Driven
Requirements
Preferred: Graduate education in computer science, statistics, applied mathematics, applied physics, economics, electrical engineering, mechanical engineering, or a related field
Regions: Us
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About aic
Industry: industrial software
AIC is a software-led industrial holding company that builds a software operating system based on Decision Physics to modernize manufacturing decision infrastructure.
View company profile →Compensation
Base salary: $180,000 – $250,000 USD
Equity: Equity included
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