Hiring: Senior Computer Vision Engineer Company: Inventure Location: San Francisco Bay Area Job Posted Time: 2026-09-16 15:50:27 Employment Type: Hybrid Target Skills & Keywords : Computer Vision, Deep Learning, Fine-tuning, HBase, Kind, LLM, MLOps, Make About the job Required Skills: •As a Computer Vision Engineer, you will: •Train and evaluate segmentation, classification and mass-estimation models for the camera pipeline, from prompting foundation models to fine-tuning ConvNets and VLMs. •Optimise edge models for production and operationalise the ML pipeline end to end, with model lineage tracking throughout. •Create and curate purpose-built datasets per customer and vertical to hold accuracy across food types, kitchen environments and deployment configurations. •Analyse failure cases systematically, from unfamiliar food classes to novel kitchens and difficult lighting and clutter, and drive the data and modelling decisions that close the gaps. •Build annotation tooling and ground-truth workflows, including foundation-model-assisted labelling, to keep pace with model iteration. •Partner with the team's MLOps and edge engineers on training practices, versioning and deployment tradeoffs as they come up. Qualifications: •You have strong fundamentals in computer vision and deep learning, across segmentation, detection, classification and tracking, deep enough to make informed architecture calls. •You are fluent with modern approaches such as VLMs, LLMs, foundation models and agentic systems alongside classical deep learning, and you know when to fine-tune a ConvNet, when to prompt a VLM and when to wire up an agent, including the practical realities of putting any of them into a product. •You evaluate models rigorously: designing metrics, building eval harnesses, and using the results to drive product decisions rather than to publish a number. •You have taken a model to production and dealt Compensation: •$225,000 •$300,000 •$220 •$250 •$220K–$250K Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!