Senior Computer Vision Engineer — Edge ML for Food Waste

Inventure; San Francisco (CA); Hybrid; USD 220,000 - 250,000; Full time

Benefits offered by this job

Equity grant

Hybrid work pattern

Job summary

Inventure, a San Francisco Bay Area hardware company, is seeking a Senior Computer Vision Engineer to own the computer vision for a commercial product that reduces food waste. The role is hybrid in the SF Bay Area and focuses on training, evaluation, and deploying edge-to-cloud computer vision systems.

You will build MLOps pipelines, curate datasets per customer, and collaborate with MLOps and edge engineers to meet production targets.

Qualifications

• Experience shipping CV models into production.
• Ability to design evaluation metrics and harnesses.
• Experience with edge/embedded systems.
• Strong communication and documentation.

Responsibilities

• Train and evaluate segmentation, classification and mass-estimation models for the camera pipeline.
• 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.

Skills

Computer vision

Deep learning

Python

PyTorch

OpenCV

Edge deployment

MLOps concepts

Tools

Weights & Biases

MLflow

SageMaker

ClearML

Cloud platforms

Job description

Inventure, a San Francisco Bay Area hardware company, is seeking a Senior Computer Vision Engineer to own the computer vision for a commercial product that reduces food waste. The role is hybrid in the SF Bay Area and focuses on training, evaluation, and deploying edge-to-cloud computer vision systems.

You will build MLOps pipelines, curate datasets per customer, and collaborate with MLOps and edge engineers to meet production targets.