Smart Design ยท 1 day ago
2026 Temporary Data Integrity Engineer
Smart Design is seeking a temporary data integrity engineer to join their team for a four-month role in their Brooklyn studio. The position involves ensuring the integrity of cloud-sourced data and collaborating with machine learning engineers and data scientists on a new computer vision product.
Brand MarketingConsultingDigital MarketingIndustrial DesignInnovation ManagementProduct DesignUX Design
Responsibilities
Collaborate in daily standups and weekly sprint planning to align on priorities, surface risks, and execute toward sprint goals
Curate and prune datasets using our Segment Anything platform, preparing high-quality batches for annotation
Own annotation job specifications, continuously refining instructions to improve accuracy and consistency of labeled data
Analyze computer vision outputs post-annotation to assess quality, identify gaps, and inform next steps
Define and prioritize data needs based on model performance, confidence scores, and data weighting metrics
Iterate on and improve existing food storage and spoilage detection models through ongoing experimentation
Qualification
Required
A bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field
Strong working proficiency in Python, Anaconda, and common data visualization libraries
Experience or familiarity with data annotation workflows and platforms, including Meta's Segment Anything Model
Hands-on experience with PyTorch-based computer vision frameworks such as YOLO or DETR
Familiarity with classical ML approaches (e.g., Random Forests) as well as transformer-based architectures
Strong attention to detail, particularly in post-annotation analysis and model evaluation
Preferred
Comfort working within AWS Infrastructure
Experience working on IoT projects and multi-disciplinary teams
Knowledge of food science and industry
Company
Smart Design
Smart Design is a design and innovation consultancy.
Funding
Current Stage
Growth StageRecent News
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