Staff Machine Learning Engineer - Vision AI

Role overview

Build production Vision AI systems that help restaurant operators understand activity in their locations and act on it. This staff-level engineering role spans model integration, backend services, and customer-facing features, with responsibility for major components from design through production operation.

Responsibilities

- Select and integrate computer vision and vision-language models into production products. - Build inference pipelines and the evaluation and monitoring systems used to track model performance. - Shape system architecture and technical decisions, balancing current needs with a path to future growth. - Coordinate with product, design, and engineering partners on integrations and dependencies. - Use AI coding assistants and agent workflows in development, testing, and delivery, and share effective practices with the team. - Set high standards for reliability, security, privacy, and testing; support peers through reviews and collaboration.

Requirements

- At least 8 years of experience building and shipping production models or ML-backed systems. - Strong command of a backend language such as Python, Java, Kotlin, Go, or Scala. - Experience integrating AI or ML models, including LLM or vision-language model APIs, into production features. - Understanding of data modeling, query languages, and online and offline data patterns for ML systems. - Deep knowledge of distributed systems, including consistency, latency, throughput, fault tolerance, and observability. - Experience taking ambiguous concepts from prototype to production, and communicating tradeoffs across teams. - Regular use of AI coding assistants and agent harnesses; a computer science degree or equivalent practical experience.

Benefits and work setup

The role follows a hybrid work model, with in-office expectations varying by region. Compensation includes a base salary, with potential additional cash compensation, equity, and benefits. The listed base salary bands are $193,000–$309,000, $168,000–$269,000, and $151,000–$242,000 USD, depending on geographic zone.