Customer-Facing AI Engineer, Retail Computer Vision

Simbe; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Simbe is hiring a Customer Facing Applied AI Engineer to translate our computer vision and data platform into customer value across retail deployments. You will configure, tune, validate, and troubleshoot AI pipelines for customer environments, helping retailers get accurate and actionable insights from Tally quickly and reliably.

Based in San Francisco, you will collaborate with Sales, Implementation, Product, Customer Success, Data, and Field teams to ensure deployments meet customer

Qualifications

• 3+ years in software engineering, ML, data engineering, CV operations, or related technical role.
• Strong Python skills and experience with pandas, notebooks, SQL, spreadsheets, or similar tools.
• Ability to troubleshoot complex issues across data pipelines, configurations, model outputs, logs, and customer reports.
• Comfort with Linux, command line workflows, Git, and production debugging.
• Strong analytical judgment, attention to detail, and ownership of customer outcomes.
• Ability to communicate clearly with technical and non technical stakeholders, including customer facing teams.

Responsibilities

• Lead customer specific AI configuration. Configure and tune Simbe's computer vision and data pipelines for new customers, new store formats, and expanded robot deployments.
• Improve customer accuracy. Investigate and resolve issues related to out of stocks, price tags, promo tags, top stock, product association, fixture detection, shelf coverage, and data quality.
• Support launches and expansions. Partner with Sales, Implementation, Product, Customer Success, Data, Computer Vision, and Field teams to ensure new deployments meet customer requirements and scale smoothly.
• Own release validation. Test customer facing model and pipeline updates, evaluate accuracy impacts, and help manage deployment readiness for releases tied to customer needs.
• Analyze production data. Use Python, pandas, SQL, internal tools, logs, robot imagery, and customer outputs to diagnose problems, quantify impact, and recommend fixes.
• Build operational tooling. Create or improve internal tools that reduce deployment time, automate QA, expose data quality issues, and help customer facing teams move faster.
• Close the loop with Product and Engineering. Turn repeated customer issues into clear product requirements, engineering tickets, and model improvement opportunities.

Skills

Python

Data analysis

SQL

Linux

Communication

Problem solving

Tools

Git

Jupyter notebooks

Job description

Simbe is hiring a Customer Facing Applied AI Engineer to translate our computer vision and data platform into customer value across retail deployments. You will configure, tune, validate, and troubleshoot AI pipelines for customer environments, helping retailers get accurate and actionable insights from Tally quickly and reliably.

Based in San Francisco, you will collaborate with Sales, Implementation, Product, Customer Success, Data, and Field teams to ensure deployments meet customer